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Conventional and Enhanced Canonical Quantizations, Application to Some Simple Manifolds 认领 引用 被引量：1
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作者 Gabriel Y. H. Avossevou Jean V. Hounguevou Daniel Sabi Takou 《Journal of Modern Physics》 2013年第11期1476-1485,共10页
It is well known that the representations over an arbitrary configuration space related to a physical system of the Heisenberg algebra allow to distinguish the simply and non simply-connected manifolds [arXiv:quant-ph... It is well known that the representations over an arbitrary configuration space related to a physical system of the Heisenberg algebra allow to distinguish the simply and non simply-connected manifolds [arXiv:quant-ph/9908.014, arXiv:hep-th/0608.023]. In the light of this classification, the dynamics of a quantum particle on the line is studied in the framework of the conventional quantization scheme as well as that of the enhanced quantization recently introduced by J. R. Klauder [arXiv:quant-ph/1204.2870]. The quantum action functional restricted to the phase space coherent states is obtained from the enhanced quantization procedure, showing the coexistence of classical and quantum theories, a fundamental advantage offered by this new approach. The example of the one dimensional harmonic oscillator is given. Next, the spectrum of a free particle on the two-sphere is recognized from the covariant diffeomorphic representations of the momentum operator in the configuration space. Our results based on simple models also point out the already-known link between interaction and topology at quantum level. 展开更多
关键词 Heisenberg Algebra Conventional Quantization Enhanced Quantization Non Simply-Connected Manifolds Interaction Topology
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THE FORMAL GEOMETRY OF A CONTRACTIVE QUANTUM PLANE AND TAYLOR SPECTRUM 认领 引用
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作者 Anar DOSI 《Acta Mathematica Scientia》 SCIE CSCD 2026年第2期826-875,共50页
The paper is devoted to noncommutative formal geometry of a contractive quantum plane,whose spectrum is the union of two copies of the complex plane.It turns out that a formal completion of the Arens-Michael envelope ... The paper is devoted to noncommutative formal geometry of a contractive quantum plane,whose spectrum is the union of two copies of the complex plane.It turns out that a formal completion of the Arens-Michael envelope of a contractive quantum plane results in a noncommutative analytic space,whose base topological space is the same spectrum,whereas the structure sheaf is obtained as a certain quantization of the related commutative analytic space.As the basic tool we use the fibered products of the Fréchet sheaves.The related topological homology problems are considered to find out a key link between the transversality relation of the noncommutative sections versus to a left Fréchet module,and noncommutative Taylor spectrum of the module. 展开更多
关键词 fibered product of Fréchet algebras quantizations noncommutative analytic space topological homology transversality noncommutative Taylor spectrum of a Fréchet module analytically parametrized Banach space complex
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Neural Adaptive Sliding-Mode Control of Vehicular Cyber-Physical Systems With Uniformly Quantized Communication Data and Disturbances 认领 引用
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作者 Yuan Zhao Mengchao Li +3 位作者 Zhongchang Liu Lichuan Liu Shixi Wen Lei Ding 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第1期149-160,共12页
This paper investigates the platoon control of heterogeneous vehicular cyber-physical systems(VCPSs) subject to external disturbances by using neural network and uniformly quantized communication data.To reduce the ad... This paper investigates the platoon control of heterogeneous vehicular cyber-physical systems(VCPSs) subject to external disturbances by using neural network and uniformly quantized communication data.To reduce the adverse effects of quantization errors on system performance,a coupling sliding mode surface is established for each following vehicle.The radial basis function(RBF) neural networks are employed to approximate the unknown external disturbances.Then,a novel platoon control law is proposed for cooperative tracking in which each following vehicle only uses the uniformly quantized data of the neighboring vehicles.And the designed controllers in this paper are fully distributed due to the fact that the selection of each vehicle's controller parameters is independent of the entire communication topology.The string stability of VCPSs in the entire control process is ensured rather than only ensuring the string stability after the sliding mode surface converges to zero.Compared with the existing controller design methods and quantization mechanisms,the neural adaptive sliding-mode platoon controller proposed in this paper is superior in performances including tracking errors,driving comfort and fuel economy.Numerical simulations illustrate the effectiveness and superiority of the designed control strategy. 展开更多
关键词 Neural adaptive sliding-mode control quantized communication string stability vehicular cyber-physical systems(VCPSs)
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Asymmetric model of the dynamic quantum Cournot duopoly game with asymmetric information and heterogeneous players 认领 引用
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作者 Huaxin Chen Wensheng Jia 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第4期295-302,共8页
Building on the existing symmetric quantization model of the dynamic Cournot duopoly game(CDG)with asymmetric information,we extend it to an asymmetric quantization model and study the stability of the quantum Bayesia... Building on the existing symmetric quantization model of the dynamic Cournot duopoly game(CDG)with asymmetric information,we extend it to an asymmetric quantization model and study the stability of the quantum Bayesian Nash equilibrium(QBNE)under heterogeneous expectations.We analyze the influence of various parameters on the stability of QBNE,with a particular focus on the impact of the parameter α on system stability.The results show that when α1,the quantum strategy of the symmetric quantization model is more conducive to stabilizing the market. 展开更多
关键词 quantum Cournot games Bayesian Nash equilibrium asymmetric quantization scheme asymmetric information
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Geodesic Nature and Quantization of Shift Vector 认领 引用
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作者 Hua Wang Kai Chang 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第2期143-148,共6页
We present the geodesic nature and quantization of geometric shift vector in quantum systems,with the parameter space defined by the Bloch momentum,using the Wilson loop approach.Our analysis extends to include bosoni... We present the geodesic nature and quantization of geometric shift vector in quantum systems,with the parameter space defined by the Bloch momentum,using the Wilson loop approach.Our analysis extends to include bosonic phonon drag shift vectors with non-vertical transitions.We demonstrate that the gauge invariant shift vector can be quantized as integer values,analogous to the Euler characteristic based on the Gauss-Bonnet theorem for a manifold with a smooth boundary.We reveal intricate relationships among geometric quantities such as the shift vector,Berry curvature,and quantum metric.Our findings demonstrate that the loop integral of the shift vector in the quantized interband formula contributes to the non-quantized component of the trace of conductivity in the circular photogalvanic effect.The Wilson loop method facilitates first-principles calculations,providing insights in the geometric underpinnings of these interband gauge invariant quantities and shedding light on their nonlinear optical manifestations in real materials. 展开更多
关键词 geometric shift vector geodesic nature gauge invariant shift vector wilson loop approachour bosonic phonon drag shift vectors bloch momentumusing euler characteristic quantization
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Quantized Transformers in Practice:Benchmarking Full-and Low-Precision LLMs across Two Processors 认领 引用
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作者 Simona-Vasilica Oprea Adela Bâra 《Computers, Materials & Continua》 SCIE EI 2026年第6期2200-2227,共28页
Quantization has emerged as an important technique for enabling efficient deployment of large language models(LLMs)by reducing their memory and computational requirements.This research conducts an evaluation of INT8 q... Quantization has emerged as an important technique for enabling efficient deployment of large language models(LLMs)by reducing their memory and computational requirements.This research conducts an evaluation of INT8 quantization on several state-of-the-art LLMs,GPT-2,LLaMA-2-7B-Chat and Qwen1.5-1.8B-Chat,across two hardware configurations:NVIDIA RTX4070 Laptop GPU and RTX4080 Laptop GPU and two tasks:text and code generation.By comparing quantized INT8 models with their FP16 counterparts and a human-written reference,we quantify the trade-offs between performance and efficiency using standard natural language generation metrics(BLEU,ROUGE-1,ROUGE-L)and semantic analysis via GPT-4o and Gemini 2.5 Flash(Google).The results reveal that INT8 post-training quantization(PTQ),hereafter referred to as INT8,substantially reduces inference time and memory footprint,with minimal impact on topical relevance but a notable decline in lexical precision,fluency and structural coherence.The extent of quality degradation varies by model size and architecture,with smaller models demonstrating greater resilience to quantization.Furthermore,we identify several limitations in quantized outputs,including reduced expressiveness,while highlighting their suitability for resource-constrained or real-time applications,such as robots monitoring safety standards in manufacturing environments.On average,INT8 quantization results in a 3.4 times speedup over FP16 inference across all tested models and GPUs(excluding configurations affected by CPU offloading),with the largest gains observed in large models like LLaMA-2-7B-Chat.The results also indicate that structured code generation exhibits slightly greater sensitivity to INT8 quantization compared to explanatory text generation. 展开更多
关键词 Large language models quantization integer precision inference text generation code generation hardware configuration
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BRST formalism of f(R)gravity 认领 引用
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作者 Ichiro Oda 《Communications in Theoretical Physics》 SCIE CAS CSCD 2026年第2期108-120,共13页
We perform the manifestly covariant quantization of f(R)gravity in the de Donder gauge condition(or harmonic gauge condition)for general coordinate invariance.We explicitly calculate various equal-time commutation rel... We perform the manifestly covariant quantization of f(R)gravity in the de Donder gauge condition(or harmonic gauge condition)for general coordinate invariance.We explicitly calculate various equal-time commutation relations(ETCRs),in particular the ETCR between the metric and its time derivative,and show that it has a nonvanishing and nontrivial expression,whose situation should be contrasted to the previous result in higher-derivative or quadratic gravity where the ETCR was found to be identically vanishing.We also clarify global symmetries,the physical content of f(R)gravity,and clearly show that this theory is manifestly unitary and has a massive scalar and massless graviton as physical modes. 展开更多
关键词 BRST formalism f(R)gravity covariant quantization
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MobiIris: Attention-Enhanced Lightweight Iris Recognition with Knowledge Distillation and Quantization 认领 引用
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作者 Trong-Thua Huynh De-Thu Huynh +2 位作者 Du-Thang Phu Hong-Son Nguyen Quoc HNguyen 《Computers, Materials & Continua》 SCIE EI 2026年第6期623-636,共14页
This paper introduces MobiIris,a lightweight deep network for mobile iris recognition that enhances attention and specifically addresses the balance between accuracy and efficiency on devices with limited resources.Th... This paper introduces MobiIris,a lightweight deep network for mobile iris recognition that enhances attention and specifically addresses the balance between accuracy and efficiency on devices with limited resources.The proposed model is based on the large version of MobileNetV3 and adds more spatial attention blocks and an embedding-based head that was trained using margin-based triplet learning,enabling fine-grained modeling of iris textures in a compact representation.To further improve discriminability,we design a training pipeline that combines dynamic-margin triplet loss,a staged hard/semi-hard negative mining strategy,and feature-level knowledge distillation from a ResNet-50 teacher.Finally,we investigate the use of post-training float16 quantization to reduce memory footprint and latency for deployment on mobile hardware.Experiments on the challenging CASIA-IrisV4-Thousand dataset show that the full-precision MobiIris model requires only 12 MB of storage and 27 ms inference latency,while achieving an EER of 1.409%,VR@FAR=1%of 98.184%,and CMC@1 of 94.785%,closely matching a ResNet-50 baseline that is more than 7×larger and slower.Under post-training quantization,the model shrinks to 5.94 MB with 13 ms latency and maintains a competitive balance between accuracy and efficiency compared to other optimized variants.These results demonstrate that a coherent combination of lightweight architecture design,attention mechanisms,metric-learning objectives,hard negative mining,and knowledge distillation yields a practical iris recognition solution suitable for secure,real-time authentication on mobile and embedded platforms. 展开更多
关键词 Iris recognition lightweight architecture model optimization attention mechanism knowledge distillation model quantization
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Quantized Intrusion Detection for Resource-Constrained IoT:A Comparative Evaluation of Efficiency and Adversarial Robustness 认领 引用
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作者 Saeed Ullah Junsheng Wu +2 位作者 Mian Muhammad Kamal Mohammed K.Alzaylaee Heba G.Mohamed 《Computers, Materials & Continua》 SCIE EI 2026年第9期1473-1496,共24页
The proliferation of Internet of Things(IoT)devices has introduced unprecedented security challenges,necessitating efficient intrusion detection systems(IDS)capable of operating under severe resource constraints.This ... The proliferation of Internet of Things(IoT)devices has introduced unprecedented security challenges,necessitating efficient intrusion detection systems(IDS)capable of operating under severe resource constraints.This research presents a hardware-informed empirical study of quantized neural-network-based intrusion detection for resource-constrained IoT platforms,using an ARM Cortex-M4 deployment target as a reference.We evaluate FP32,FP16,and INT8 TensorFlow Lite model variants derived from a lightweight 1D-CNN and assess their trade-offs in clean-data accuracy,model size,estimated inference latency,estimated energy consumption,and adversarial robustness.INT8-quantized model achieves 99.10%accuracy on clean data while maintaining 97.50%adversarial accuracy under Projected Gradient Descent(PGD)attacks with perturbation budget=0.3.The quantized model achieves 12.0×latency reduction(0.083 vs.0.995 ms)and 92.7%energy reduction(0.0083 vs.0.1135 mJ)when compared to FP32.The memory footprint of the model is reduced by 55.7%from 58.02 to 25.72 KB.Our comprehensive analysis includes confusion matrices,ROC curves(AUC=0.9964 for INT8),adversarial robustness heatmaps,and statistical significance testing via McNemar’s test.The results establish INT8 quantization as a viable solution for deploying robust IDS on resource-constrained IoT devices,achieving practical deployment feasibility without reducing detection performance. 展开更多
关键词 IoT security intrusion detection neural network quantization adversarial robustness energy-efficient computing TensorFlow lite
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AI Model Compression Methods: A Distribution-Aware Residual Entropy Quantization 认领 引用
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作者 Nikita Sakovich Dmitry Aksenov +1 位作者 Ekaterina Pleshakova Sergey Gataullin 《Computers, Materials & Continua》 SCIE EI 2026年第8期854-864,共11页
We introduce the DARE-Q(Distribution-Aware Residual Entropy Quantization)method—a post-training quantization method for neural network weights designed to reduce bit-width with minimal degradation of model quality.Un... We introduce the DARE-Q(Distribution-Aware Residual Entropy Quantization)method—a post-training quantization method for neural network weights designed to reduce bit-width with minimal degradation of model quality.Unlike traditional approaches that solely optimize the mean squared error of weight approximation,DARE-Q additionally considers the entropy of the quantization residual,allowing for control over the statistical properties of the resulting error.The method is based on channel-wise symmetric uniform quantization with scaling based on a combined loss function that includes L2 distortion and entropy regularization.The DARE-Q method is implemented as a compact DAREQuantLinear module which can be easily integrated into standard transformer pipelines without changing the inference logic or using specific kernels.The experimental analysis was conducted on the language models facebook/opt-125m and facebook/opt-350m,which contain approximately 125 and 350 million parameters.The quality of the models was assessed using the standard perplexity metric(PPL)computed on the wikitext-2-raw-v1 dataset.DARE-Q is completely data-free and does not require model retraining or calibration data,which makes it the only viable option in privacy-sensitive or confidential environments where access to the original training data is restricted—precisely the setting where methods such as GPTQ and AWQ cannot be applied.The observed increase in PPL relative to data-dependent baselines reflects this fundamental trade-off rather than a shortcoming of the approach.By leveraging per-channel scale selection and a combined loss function,DARE-Q provides a flexible trade-off between approximation accuracy and quantization error structure,creating an attractive algorithmic basis for further improvement of model compression methods. 展开更多
关键词 Artificial intelligence large language models mathematical optimization methods model compression quantization methods information theory high-performance computing
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Consistent gauge theories for the slave particle representation of the strongly correlated t-J model 认领 引用
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作者 Xi Luo Tao Shi +1 位作者 Yue Yu Long Liang 《Communications in Theoretical Physics》 SCIE CAS CSCD 2026年第4期170-178,共9页
We aim to clarify the confusion and inconsistency in our recent works(Luo et al 2023 Commun.Theor.Phys.75095702;Liang et al 2024 Phys.Rev.B 110075125),and to address the incompleteness therein.In order to avoid the il... We aim to clarify the confusion and inconsistency in our recent works(Luo et al 2023 Commun.Theor.Phys.75095702;Liang et al 2024 Phys.Rev.B 110075125),and to address the incompleteness therein.In order to avoid the ill-defined nature of the free propagator of the gauge field in the ordered states of the t-J model,we adopted a gauge fixing that was not of the Becchi-Rouet-Stora-Tyutin(BRST)exact form in our previous work(Liang et al 2024 Phys.Rev.B 110075125).This led to the situation where Dirac's second-class constraints,namely,the slave particle number constraint and the Ioffe-Larkin current constraint,were not rigorously obeyed.Here we show that a consistent gauge fixing condition that enforces the exact constraints is BRST-exact in our theory.An example is the Lorenz gauge.On the other hand,we prove that although the free propagator of the gauge field in the Lorenz gauge is ill-defined,the full propagator is still well-defined.This implies that the strongly correlated t-J model can be exactly mapped to a perturbatively controllable theory within the slave particle representation. 展开更多
关键词 t-J model slave particle representation constrained systems BRST quantization
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Quantizations of the Extended Affine Lie Algebra Sl2(Cq) 认领 引用 被引量：1
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作者 Ying Xu Junbo Li 《Algebra Colloquium》 SCIE CSCD 2015年第4期581-602,共22页
In this paper, the extended affine Lie algebra sl2（Cq） is quantized from three different points of view, which produces three non-commutative and non-cocommutative Hopf algebra structures, and yields other three qua... In this paper, the extended affine Lie algebra sl2（Cq） is quantized from three different points of view, which produces three non-commutative and non-cocommutative Hopf algebra structures, and yields other three quantizations by an isomorphism of sl2 （Cq） correspondingly. Moreover, two of these quantizations can be restricted to the extended affine Lie algebra sl2（Cq）. 展开更多
关键词 quantizations Lie bialgebras Drinfel＇d twists extended affine Lie algebra
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ECG-Afibx:a low-power addernet accelerator for atrial fibrillation detection in embedded systems 认领 引用
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作者 Palagiri Veerareddy Tallapragada Veera Venkata Satyanarayana 《Biomedical Engineering Communications》 CAS 2026年第5期4-16,共13页
Background:Long multi-channel ECG recordings that capture both time and space fluctuations are necessary for the accurate identification of atrial fibrillation(AF)in wearable or edge devices.These devices must use low... Background:Long multi-channel ECG recordings that capture both time and space fluctuations are necessary for the accurate identification of atrial fibrillation(AF)in wearable or edge devices.These devices must use low-power computing and effective,real-time compression to manage massive volumes of data.An energy-efficient AdderNet-based method for AF detection utilizing compressed multi-channel ECG signals was presented in this paper.Methods:A Lossless Multi-channel Adaptive Compression Engine(L-MACE)with training,spatial,and temporal compression units is proposed in order to control bandwidth and storage constraints.Instead of employing sophisticated predictors,it uses a basic Sum-Predictor(SP)and a minimum spanning tree to decrease inter-channel redundancy.Compression is made even easier with a Booth-Encoded Logarithmic Quantized(B-LQ)multiplier.In order to save resources,a Quantized AdderNet(Q-ANet)uses sum-of-absolute-differences(SAD)rather than multiply-accumulate to detect AF after compression.Memory use is decreased by an activation-guided quantization technique,while hardware and energy efficiency is increased with SP adders.Results:The proposed method offers an accuracy of 99.07%,a precision of 99.45%,a sensitivity of 99.33%,a specificity of 98.22%,and an F1 score of 99.39%.The proposed B-LQ multiplier achieves 316 LUT and 1.758 ns of latency,while the proposed SP adder achieves 40 LUT,74 IO,and 1.610 ns of delay.Conclusion:Overall,by combining hardware-optimized computation and compression-aware signal processing,the proposed architecture shows an incredibly efficient solution for real-time AF identification in edge and wearable devices. 展开更多
关键词 atrial fibrillation lossless multi-channel adaptive compression engine sum-predictor booth-encoded logarithmic quantized quantized addernet accelerator sum-of-absolute-differences
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Quantizations of the W-Algebra W(2,2) 认领 引用 被引量：3
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作者 Jun Bo LI Yu Cai SU 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2011年第4期647-656,共10页
We quantize the W-algebra W(2,2),whose Verma modules,Harish-Chandra modules,irreducible weight modules and Lie bialgebra structures have been investigated and determined in a series of papers recently.
关键词 Quantization the W-algebra W(2 2) quantum groups Lie bialgebras
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The Enhanced Period Map and Equivariant Deformation Quantizations of Nilpotent Orbits 认领 引用 被引量：1
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作者 Shi Lin YU 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2024年第3期885-934,共50页
In a previous paper,the author and his collaborator studied the problem of lifting Hamil-tonian group actions on symplectic varieties and Lagrangian subvarieties to their graded deformation quantizations and apply the... In a previous paper,the author and his collaborator studied the problem of lifting Hamil-tonian group actions on symplectic varieties and Lagrangian subvarieties to their graded deformation quantizations and apply the general results to coadjoint orbit method for semisimple Lie groups.Only even quantizations were considered there.In this paper,these results are generalized to the case of general quantizations with arbitrary periods.The key step is to introduce an enhanced version of the(truncated)period map defined by Bezrukavnikov and Kaledin for quantizations of any smooth sym-plectic variety X,with values in the space of Picard Lie algebroid over X.As an application,we study quantizations of nilpotent orbits of real semisimple groups satisfying certain codimension condition. 展开更多
关键词 Coadjoint orbit method deformation quantization Harish-Chandra modules semisimple Liegroups
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TP-ViT:truncated uniform-log2 quantizer and progressive bit-decline reconstruction for vision Transformer quantization 认领 引用
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作者 Xichuan ZHOU Sihuan ZHAO +4 位作者 Rui DING Jiayu SHI Jing NIE Lihui CHEN Haijun LIU 《ENGINEERING Information Technology & Electronic Engineering》 SCIE EI CSCD 2026年第1期47-58,共12页
Vision Transformers(ViTs)have achieved remarkable success across various artificial intelligence-based computer vision applications.However,their demanding computational and memory requirements pose significant challe... Vision Transformers(ViTs)have achieved remarkable success across various artificial intelligence-based computer vision applications.However,their demanding computational and memory requirements pose significant challenges for de-ployment on resource-constrained edge devices.Although post-training quantization(PTQ)provides a promising solution by reducing model precision with minimal calibration data,aggressive low-bit quantization typically leads to substantial perfor-mance degradation.To address this challenge,we present the truncated uniform-log2 quantizer and progressive bit-decline reconstruction method for vision Transformer quantization(TP-ViT).It is an innovative PTQ framework specifically designed for ViTs,featuring two key technical contributions:(1)truncated uniform-log2 quantizer,a novel quantization approach which effectively handles outlier values in post-Softmax activations,significantly reducing quantization errors;(2)bit-decline optimiza-tion strategy,which employs transition weights to gradually reduce bit precision while maintaining model performance under extreme quantization conditions.Comprehensive experiments on image classification,object detection,and instance segmenta-tion tasks demonstrate TP-ViT’s superior performance compared to state-of-the-art PTQ methods,particularly in challenging 3-bit quantization scenarios.Our framework achieves a notable 6.18 percentage points improvement in top-1 accuracy for ViT-small under 3-bit quantization.These results validate TP-ViT’s robustness and general applicability,paving the way for more efficient deployment of ViT models in computer vision applications on edge hardware. 展开更多
关键词 Vision Transformers Post-training quantization Block reconstruction Image classification Object detection Instance segmentation
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Distributed event-triggered collision avoidance coordinated control for QUAVs based on flexible virtual tubes 认领 引用 被引量：1
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作者 Hongzhen GUO Mou CHEN +1 位作者 Mihai LUNGU Baomin LI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2025年第2期339-352,共14页
In this paper,a distributed Event-Triggered(ET)collision avoidance coordinated control for Quadrotor Unmanned Aerial Vehicles(QUAVs)is proposed based on Virtual Tubes(VTs)with flexible boundaries in the presence of un... In this paper,a distributed Event-Triggered(ET)collision avoidance coordinated control for Quadrotor Unmanned Aerial Vehicles(QUAVs)is proposed based on Virtual Tubes(VTs)with flexible boundaries in the presence of unknown external disturbances.Firstly,VTs are constructed for each QUAV,and the QUAV is restricted into the corresponding VT by the artificial potential field,which is distributed around the boundary of the VT.Thus,the collisions between QUAVs are avoided.Besides,the boundaries of the VTs are flexible by the modification signals,which are generated by the self-regulating auxiliary systems,to make the repulsive force smaller and give more buffer space for QUAVs without collision.Then,a novel ET mechanism is designed by introducing the concept of prediction to the traditional fixed threshold ET mechanism.Furthermore,a disturbance observer is proposed to deal with the adverse effects of the unknown external disturbance.On this basis,a distributed ET collision avoidance coordinated controller is proposed.Then,the proposed controller is quantized by the hysteresis uniform quantizer and then sent to the actuator only at the ET instants.The boundedness of the closed-loop signals is verified by the Lyapunov method.Finally,simulation and experimental results are performed to demonstrate the superiority of the proposed control method. 展开更多
关键词 Quadrotor unmanned aerial vehicles Collision avoidance Virtual tubes with flexible boundaries Event-triggered mechanism Hysteresis uniform quantizer Distributed coordinated control
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Relativistic two-fluid hydrodynamics with quantized vorticity from the nonlinear Klein-Gordon equation 认领 引用 被引量：1
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作者 Chi Xiong Kerson Huang 《Communications in Theoretical Physics》 SCIE CAS CSCD 2025年第2期159-169,共11页
We consider a relativistic two-fluid model of superfluidity,in which the superfluid is described by an order parameter that is a complex scalar field satisfying the nonlinear Klein-Gordon equation(NLKG).The coupling t... We consider a relativistic two-fluid model of superfluidity,in which the superfluid is described by an order parameter that is a complex scalar field satisfying the nonlinear Klein-Gordon equation(NLKG).The coupling to the normal fluid is introduced via a covariant current-current interaction,which results in the addition of an effective potential,whose imaginary part describes particle transfer between superfluid and normal fluid.Quantized vorticity arises in a class of singular solutions and the related vortex dynamics is incorporated in the modified NLKG,facilitating numerical analysis which is usually very complicated in the phenomenology of vortex filaments.The dual transformation to a string theory description(Kalb-Ramond)of quantum vorticity,the Magnus force,and the mutual friction between quantized vortices and normal fluid are also studied. 展开更多
关键词 relativistic superfluidity nonlinear Klein-Gordon field theory quantized vortices two-fluid model Kalb-Ramond field global string
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Networked control with guaranteed performance for IoT rehabilitation robot under nonvanishing uncertainties and input quantization 认领 引用
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作者 Shilei Tan Xuesong Wang +1 位作者 Haoquan Zhou Wei Gong 《Digital Communications and Networks》 SCIE EI CSCD 2025年第6期1774-1782,共9页
The Internet of Things(IoT)technology provides data acquisition,transmission,and analysis to control rehabilitation robots,encompassing sensor data from the robots as well as lidar signals for trajectory planning(desi... The Internet of Things(IoT)technology provides data acquisition,transmission,and analysis to control rehabilitation robots,encompassing sensor data from the robots as well as lidar signals for trajectory planning(desired trajectory).In IoT rehabilitation robot systems,managing nonvanishing uncertainties and input quantization is crucial for precise and reliable control performance.These challenges can cause instability and reduced effectiveness,particularly in adaptive networked control.This paper investigates networked control with guaranteed performance for IoT rehabilitation robots under nonvanishing uncertainties and input quantization.First,input quantization is managed via a quantization-aware control design,ensur stability and minimizing tracking errors,even with discrete control inputs,to avoid chattering.Second,the method handles nonvanishing uncertainties by adjusting control parameters via real-time neural network adaptation,maintaining consistent performance despite persistent disturbances.Third,the control scheme guarantees the desired tracking performance within a specified time,with all signals in the closed-loop system remaining uniformly bounded,offering a robust,reliable solution for IoT rehabilitation robot control.The simulation verifies the benefits and efficacy of the proposed control strategy. 展开更多
关键词 Networked control IoT rehabilitation robot Guaranteed performance Nonvanishing uncertainties Input quantization
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BER performance analysis of non-Hermitian symmetry OFDM-VLC systems with ADC quantization noise 认领 引用
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作者 WANG Zhongpeng AI Caihua ZHANG Lijuan 《Optoelectronics Letters》 EI 2025年第11期677-683,共7页
Quantization noise caused by analog-to-digital converter(ADC)gives rise to the reliability performance degradation of communication systems.In this paper,a quantized non-Hermitian symmetry(NHS)orthogonal frequency-div... Quantization noise caused by analog-to-digital converter(ADC)gives rise to the reliability performance degradation of communication systems.In this paper,a quantized non-Hermitian symmetry(NHS)orthogonal frequency-division multiplexing-based visible light communication(OFDM-VLC)system is presented.In order to analyze the effect of the resolution of ADC on NHS OFDM-VLC,a quantized mathematical model of NHS OFDM-VLC is established.Based on the proposed quantized model,a closed-form bit error rate(BER)expression is derived.The theoretical analysis and simulation results both confirm the effectiveness of the obtained BER formula in high-resolution ADC.In addition,channel coding is helpful in compensating for the BER performance loss due to the utilization of lower resolution ADC. 展开更多
关键词 quantized modela communication systemsin Bit Error Rate quantized mathematical model reliability performance degradation non hermitian symmetry ADC quantization OFDM VLC
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