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Data-based neural controls for an unknown continuous-time multi-input system with integral reinforcement 认领 引用
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作者 Yongfeng Lv Jun Zhao +1 位作者 Wan Zhang Huimin Chang 《Control Theory and Technology》 EI CSCD 2025年第1期118-130,共13页
Integral reinforcement learning(IRL)is an effective tool for solving optimal control problems of nonlinear systems,and it has been widely utilized in optimal controller design for solving discrete-time nonlinearity.Ho... Integral reinforcement learning(IRL)is an effective tool for solving optimal control problems of nonlinear systems,and it has been widely utilized in optimal controller design for solving discrete-time nonlinearity.However,solving the Hamilton-Jacobi-Bellman(HJB)equations for nonlinear systems requires precise and complicated dynamics.Moreover,the research and application of IRL in continuous-time(CT)systems must be further improved.To develop the IRL of a CT nonlinear system,a data-based adaptive neural dynamic programming(ANDP)method is proposed to investigate the optimal control problem of uncertain CT multi-input systems such that the knowledge of the dynamics in the HJB equation is unnecessary.First,the multi-input model is approximated using a neural network(NN),which can be utilized to design an integral reinforcement signal.Subsequently,two criterion networks and one action network are constructed based on the integral reinforcement signal.A nonzero-sum Nash equilibrium can be reached by learning the optimal strategies of the multi-input model.In this scheme,the NN weights are constantly updated using an adaptive algorithm.The weight convergence and the system stability are analyzed in detail.The optimal control problem of a multi-input nonlinear CT system is effectively solved using the ANDP scheme,and the results are verified by a simulation study. 展开更多
关键词 Adaptive dynamic programming Integral reinforcement Neural networks Heuristic dynamic programming Multi-input system
Matrix Power Control Algorithm for Multi-input Multi-output Random Vibration Test 认领 引用 被引量:13
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作者 CUI Xuli CHEN Huaihai +1 位作者 HE Xudong JIANG Shuangyan 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2011年第6期741-748,共8页
Both auto-power spectrum and cross-power spectrum need to be controlled in multi-input multi-output(MIMO)random vibration test.During the control process with the difference control algorithm(DCA),a lower triangular m... Both auto-power spectrum and cross-power spectrum need to be controlled in multi-input multi-output(MIMO)random vibration test.During the control process with the difference control algorithm(DCA),a lower triangular matrix is derived from Cholesky decomposition of a reference spectrum matrix.The diagonal elements of the lower triangular matrix(DELTM)may become negative.These negative values have no meaning in physical significance and can cause divergence of auto-power spectrum control.A proportional root mean square control algorithm(PRMSCA)provides another method to avoid the divergence caused by negative values of DELTM,but PRMSCA cannot control the cross-power spectrum.A new control algorithm named matrix power control algorithm(MPCA)is proposed in the paper.MPCA can guarantee that DELTM is always positive in the auto-power spectrum control.MPCA can also control the cross-power spectrum.After these three control algorithms are analyzed,three-input three-output random vibration control tests are implemented on a three-axis vibration shaker.The results show the validity of the proposed MPCA. 展开更多
关键词 multi-input multi-output environmental testing vibration control random vibration auto-power spectrum cross-power spectrum
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Control method for multi-input multi-output non-Gaussian random vibration test with cross spectra consideration 认领 引用 被引量:12
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作者 Ronghui ZHENG Huaihai CHEN Xudong HE 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2017年第6期1895-1906,共12页
A control method for Multi-Input Multi-Output(MIMO) non-Gaussian random vibration test with cross spectra consideration is proposed in the paper. The aim of the proposed control method is to replicate the specified ... A control method for Multi-Input Multi-Output(MIMO) non-Gaussian random vibration test with cross spectra consideration is proposed in the paper. The aim of the proposed control method is to replicate the specified references composed of auto spectral densities, cross spectral densities and kurtoses on the test article in the laboratory. It is found that the cross spectral densities will bring intractable coupling problems and induce difficulty for the control of the multioutput kurtoses. Hence, a sequential phase modification method is put forward to solve the coupling problems in multi-input multi-output non-Gaussian random vibration test. To achieve the specified responses, an improved zero memory nonlinear transformation is utilized first to modify the Fourier phases of the signals with sequential phase modification method to obtain one frame reference response signals which satisfy the reference spectra and reference kurtoses. Then, an inverse system method is used in frequency domain to obtain the continuous stationary drive signals. At the same time, the matrix power control algorithm is utilized to control the spectra and kurtoses of the response signals further. At the end of the paper, a simulation example with a cantilever beam and a vibration shaker test are implemented and the results support the proposed method very well. 展开更多
关键词 Cross spectra Kurtosis control Multi-input multi-output Non-Gaussian Random vibration test
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Multi-input multi-output random vibration control using Tikhonov filter 认领 引用 被引量:4
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作者 Cui Song Chen Huaihai +1 位作者 He Xudong Zheng Wei 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2016年第6期1649-1663,共15页
Noises always disturb the control effect of an environment test especially in multi-input multi-output(MIMO) systems. If the frequency response function matrices are ill-conditioned, the noises in the driving forces w... Noises always disturb the control effect of an environment test especially in multi-input multi-output(MIMO) systems. If the frequency response function matrices are ill-conditioned, the noises in the driving forces will be amplified and the response spectral lines may awfully exceed their tolerances. Most of the major biases between the response spectra and the reference spectra are produced by the amplified noises. However, ordinary control algorithms can hardly reduce the level of noises. The influences of the noises on both the auto- and cross-power spectra are analyzed in this paper. As a conventional frequency domain method on the inverse problem, the Tikhonov filter is adopted in the environment test to suppress the exceeding spectral lines. By altering regularization parameters gradually, the auto-power spectra can be improved in a closed control loop. Instead of using the traditional way of selecting regularization parameters, we observe the coherence change to estimate noise eliminations. Incidentally, the requirement of coherence control can be realized. The errors of the phase are then studied and a phase control algorithm is introduced at the end as a supplement of cross-power spectra control. The Tikhonov filter and the proposed phase control algorithm are tested numerically and experimentally. The results show that the noises in the vicinity of lightly damped resonant peaks are more stubborn. The response spectra are able to be greatly improved by the combination of these two methods. 展开更多
关键词 Coherence Environmental testing Multi-input multi-output(MIMO) Noise Phase control Tikhonov filter
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Set-point-related Indirect Iterative Learning Control for Multi-input Multi-output Systems 认领 引用 被引量:1
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作者 Huo, Zhen-Yu Yang, Zhu Pang, Yan-Jun 《International Journal of Automation and computing》 2012年第3期266-273,共8页
A form of iterative learning control (ILC) is used to update the set-point for the local controller. It is referred to as set-point-related (SPR) indirect ILC. SPR indirect ILC has shown excellent performance: as a su... A form of iterative learning control (ILC) is used to update the set-point for the local controller. It is referred to as set-point-related (SPR) indirect ILC. SPR indirect ILC has shown excellent performance: as a supervision module for the local controller, ILC can improve the tracking performance of the closed-loop system along the batch direction. In this study, an ILC-based P-type controller is proposed for multi-input multi-output (MIMO) linear batch processes, where a P-type controller is used to design the control signal directly and an ILC module is used to update the set-point for the P-type controller. Under the proposed ILC-based P-type controller, the closed-loop system can be transformed to a 2-dimensional (2D) Roesser s system. Based on the 2D system framework, a sufficient condition for asymptotic stability of the closed-loop system is derived in this paper. In terms of the average tracking error (ATE), the closed-loop control performance under the proposed algorithm can be improved from batch to batch, even though there are repetitive disturbances. A numerical example is used to validate the proposed results. 展开更多
关键词 Iterative learning control (ILC) indirect ILC multi-input multi-output (MIMO) 2-dimensional system asymptotical stability linear matrix inequality (LMI).
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A Dynamic Matrix Controller with Feedforward for Flow Field in Intermittent Transonic Wind Tunnels 认领 引用
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作者 DU Ning ZHU Wenjie +2 位作者 YAO Dan ZOU Xinlei QIN Jianhua 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2026年第1期55-72,共18页
Intermittent transonic wind tunnels demand high-precision and stable control of Mach number and stagnation pressure during the variation of model angle of attack,while the traditional proportional integral derivative(... Intermittent transonic wind tunnels demand high-precision and stable control of Mach number and stagnation pressure during the variation of model angle of attack,while the traditional proportional integral derivative(PID)control strategy fails to achieve the Mach number control error target of 0.001 and is inept at resisting flow field disturbances caused by rapid changes in angle of attack.Aiming at this problem,this study takes the intermittent transonic wind tunnel of China Aerodynamics Research and Development Center as the research object and optimizes the wind tunnel control system for its characteristics of multi-input multi-output(MIMO),large time delay and nonlinearity.First,the control system structure is reconstructed by introducing ejection pressure as a controlled variable to reduce the time lag from the main pressure regulating valve to the test section,and selecting static pressure instead of Mach number as a controlled variable to weaken the nonlinear coupling between Mach number and static pressure.Second,based on the first-order plus dead time process model of the wind tunnel,a MIMO dynamic matrix controller(DMC)for wind tunnel flow field is designed.Considering the predictable nature of angle-of-attack changes,a feedforward compensation strategy is integrated into the DMC to mitigate the pressure disturbance in the test section caused by the variation of angle of attack.Third,a complete tuning strategy for DMC parameters including sampling time,prediction horizon,control horizon and weight coefficients is formulated according to the wind tunnel model parameters under different Mach numbers.Experimental validations through practical blowing tests are carried out at Mach numbers of 0.578,0.675,0.714 and 0.822 to compare the control performance of the proposed feedforward DMC strategy with the traditional PID control and DMC without feedforward compensation.The results show that the proposed strategy stably controls the Mach number error within 0.001,and significantly improves the stagnation pressure control accuracy and anti-disturbance capability of the wind tunnel flow field.Moreover,the strategy exhibits excellent repeatability and robustness under different Mach number conditions.This study effectively solves the problem of high-precision flow field control under the rapid change of angle of attack in intermittent transonic wind tunnels,and provides a technical reference for the flow field control of complex fluid test devices such as hypersonic wind tunnels. 展开更多
关键词 intermittent transonic wind tunnel flow field control dynamic matrix controller(DMC) feedforward compensation multi-input multi-output(MIMO)system parameter tuning
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A multi-input and multi-output design on automotive engine management system 认领 引用
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作者 翟禹嘉 孙研 +1 位作者 钱科军 LEE Sang-hyuk 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第12期4687-4692,共6页
Lookup table is widely used in automotive industry for the design of engine control units(ECU).Together with a proportional-integral controller,a feed-forward and feedback control scheme is often adopted for automotiv... Lookup table is widely used in automotive industry for the design of engine control units(ECU).Together with a proportional-integral controller,a feed-forward and feedback control scheme is often adopted for automotive engine management system(EMS).Usually,an ECU has a structure of multi-input and single-output(MISO).Therefore,if there are multiple objectives proposed in EMS,there would be corresponding numbers of ECUs that need to be designed.In this situation,huge efforts and time were spent on calibration.In this work,a multi-input and multi-out(MIMO) approach based on model predictive control(MPC) was presented for the automatic cruise system of automotive engine.The results show that the tracking of engine speed command and the regulation of air/fuel ratio(AFR) can be achieved simultaneously under the new scheme.The mean absolute error(MAE) for engine speed control is 0.037,and the MAE for air fuel ratio is 0.069. 展开更多
关键词 neural network spark-ignition engine dynamical system modeling system identification multi-input and mult-output(MIMO) control system
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APPLICATION OF FRF ESTIMATOR BASED ON ERRORS-IN-VARIABLES MODEL IN MULTI-INPUT MULTI-OUTPUT VIBRATION CONTROL SYSTEM 认领 引用
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作者 GUAN Guangfeng CONG Dacheng +1 位作者 HAN Junwei LI Hongren 《Chinese Journal of Mechanical Engineering》 EI CAS 2007年第4期101-105,共5页
The FRF estimator based on the errors-in-variables(EV)model of multi-input multi-output(MIMO)system is presented to reduce the bias error of FRF HI estimator.The FRF HI estimator is influenced by the noises in the inp... The FRF estimator based on the errors-in-variables(EV)model of multi-input multi-output(MIMO)system is presented to reduce the bias error of FRF HI estimator.The FRF HI estimator is influenced by the noises in the inputs of the system and generates an under-estimation of the true FRF.The FRF estimator based on the EV model takes into account the errors in both the inputs and outputs of the system and would lead to more accurate FRF estimation.The FRF estimator based on the EV model is applied to the waveform replication on the 6-DOF(degree-of-freedom)hydraulic vibration table.The result shows that it is favorable to improve the control precision of the MIMO vibration control system. 展开更多
关键词 Multi-input multi-output(MIMO)system Errors-in-variables(EV)model 6-DOF hydraulic vibration table Waveform replication
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Design of Decentralized Multi-input Multi-output Repetitive Control Systems 认领 引用
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作者 Edi Kurniawan Zhen-Wei Cao +1 位作者 Maria Mitrevska Zhi-Hong Man 《International Journal of Automation and computing》 CSCD 2016年第6期615-623,共9页
This paper presents the design of decentralized repetitive control (RC) for multi-input multi-output (MIMO) systems. An optimization method is used to obtain a RC compensator that ensures system stability and good... This paper presents the design of decentralized repetitive control (RC) for multi-input multi-output (MIMO) systems. An optimization method is used to obtain a RC compensator that ensures system stability and good tracking performance. The designed compensator is in the form of a stable, low order, and causal filter, in which the compensator can be implemented separately without being merged with the RC internal model. This will reduce complexity in the implementation. Simulation results and comparison study are given to demonstrate the effectiveness of the proposed design. The novelty of design is also verified in experiments on a 2 degrees of freedom (DOF) robot. 展开更多
关键词 Repetitive control (RC) compensator multi-input multi-output (MIMO) decentralized optimization two degrees of freedom robot.
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Integrated Multi-input Bi-directional DC-DC Converter for Hybrid Energy Storage Systems 认领 引用
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作者 Jun Cai Xu Peng +1 位作者 Xin Zhang Zhiquan Deng 《CSEE Journal of Power and Energy Systems》 SCIE EI CSCD 2026年第2期1015-1028,共14页
Multi-input bidirectional DC-DC converter is quite vital for a single system to interface multiple sources and allow energy exchange between sources and loads.In this paper,a general multi-input DC-DC converter topolo... Multi-input bidirectional DC-DC converter is quite vital for a single system to interface multiple sources and allow energy exchange between sources and loads.In this paper,a general multi-input DC-DC converter topology and its control strategy are proposed for hybrid energy storage system.This converter can connect any number of power sources and make any ports controllable bidirectionally.To interface N power sources,only N+1 controllable power switches are needed,which makes converter more compact with largely reduced power devices and driving circuits.Without loss of generality,a case with two sources(N=2)is utilized as a typical study case for experimental verification.Experimental results show this converter can interface two individual power sources simultaneously and ensure flexible power flow control with all ports bi-directionally.N=2 converter structure can be developed as an integrated converter module,which is able to combine with traditional bidirectional buck/boost DC-DC converter(BBDC)to construct series-connected or parallel connected integrated converters for multi-source applications. 展开更多
关键词 Bidirectional DC-DC converter hybrid energy storage integration multi-input
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MIMO Soft-sensor Model of Nutrient Content for Compound Fertil- izer Based on Hybrid Modeling Technique 认领 引用 被引量:6
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作者 傅永峰 苏宏业 褚健 《Chinese Journal of Chemical Engineering》 SCIE EI CAS 2007年第4期554-559,共6页
In compound fertilizer production, several quality variables need to be monitored and controlled simultaneously. It is very diifficult to measure these variables on-line by existing instruments and sensors. So, soft-s... In compound fertilizer production, several quality variables need to be monitored and controlled simultaneously. It is very diifficult to measure these variables on-line by existing instruments and sensors. So, soft-sensor technique becomes an indispensable method to implement real-time quality control. In this article, a new model of multi-inputs multi-outputs (MIMO) soft-sensor, which is constructed based on hybrid modeling technique, is proposed for these interactional variables. Data-driven modeling method and simplified first principle modelingmethod are combined in this model. Data-driven modeling method based on limited memory partial least squares(LM-PLS) al.gorithm is used to build soft-senor models for some secondary variables.then, the simplified first principle model is used to compute three primary variables on line. The proposed model has been used in practicalprocess; the results indicate that the proposed model is precise and efficient, and it is possible to realize on line quality control for compound fertilizer process. 展开更多
关键词 multi-inputs multi-outputs soft-sensor limited memory partial least squares simplified first principle model nutrient content of compound fertilizer
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Modeling and Control of Nonlinear Discrete-time Systems Based on Compound Neural Networks 认领 引用 被引量:5
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作者 张燕 梁秀霞 +2 位作者 杨鹏 陈增强 袁著祉 《Chinese Journal of Chemical Engineering》 SCIE EI CAS 2009年第3期454-459,共6页
An adaptive inverse controller for nonliear discrete-time system is proposed in this paper. A compound neural network is constructed to identify the nonlinear system, which includes a linear part to approximate the no... An adaptive inverse controller for nonliear discrete-time system is proposed in this paper. A compound neural network is constructed to identify the nonlinear system, which includes a linear part to approximate the nonlinear system and a recurrent neural network to minimize the difference between the linear model and the real nonlinear system. Because the current control input is not included in the input vector of recurrent neural network (RNN), the inverse control law can be calculated directly. This scheme can be used in real-time nonlinear single-input single-output (SISO) and multi-input multi-output (MIMO) system control with less computation work. Simulation studies have shown that this scheme is simple and affects good control accuracy and robustness. 展开更多
关键词 adaptive inverse control compound neural network process control reaction engineering multi-input multi-output nonlinear system
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一种复数球形译码算法的仿真 认领 引用 被引量:4
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作者 李颖 王欣 魏急波 《系统仿真学报》 EI CAS 北大核心 2006年第10期2980-2983,共4页
球形译码算法作为实现最大似然检测的一种有效快速算法受到了学者们的广泛关注。在通信理论中经常使用到复数信号模型,但目前尚未有文献给出在该模型下明晰的算法流程。利用信号星座图的几何特点,推导了一种保持原信号维数的复数球形译... 球形译码算法作为实现最大似然检测的一种有效快速算法受到了学者们的广泛关注。在通信理论中经常使用到复数信号模型,但目前尚未有文献给出在该模型下明晰的算法流程。利用信号星座图的几何特点,推导了一种保持原信号维数的复数球形译码算法;考虑到算法中涉及对整数环的特殊处理,给出了清晰的算法流程。该流程适用于各种复数矩阵信道模型与典型二维信号星座图,为复数模型下球形译码算法的研究提供了一个有效的仿真平台。 展开更多
关键词 复数球形译码 最大似然检测 MIMO(Multi-input Multi—output) V-BLAST(Vertical-Bell Labs Layered Space-Time)
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Stability analysis of linear/nonlinear switching active disturbance rejection control based MIMO continuous systems 认领 引用 被引量:3
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作者 WAN Hui QI Xiaohui LI Jie 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2021年第4期956-970,共15页
In this paper,a linearonlinear switching active disturbance rejection control(SADRC)based decoupling control approach is proposed to deal with some difficult control problems in a class of multi-input multi-output(MIM... In this paper,a linearonlinear switching active disturbance rejection control(SADRC)based decoupling control approach is proposed to deal with some difficult control problems in a class of multi-input multi-output(MIMO)systems such as multi-variables,disturbances,and coupling,etc.Firstly,the structure and parameter tuning method of SADRC is introduced into this paper.Followed on this,virtual control variables are adopted into the MIMO systems,making the systems decoupled.Then the SADRC controller is designed for every subsystem.After this,a stability analyzed method via the Lyapunov function is proposed for the whole system.Finally,some simulations are presented to demonstrate the anti-disturbance and robustness of SADRC,and results show SADRC has a potential applications in engineering practice. 展开更多
关键词 linearonlinear switching active disturbance rejection control(SADRC) multi-input multi-output(MIMO)continuous system decoupling control stability analysis
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COMBINED TRANSMIT ANTENNA SELECTION AND DETECTION OVER SPATIAL CORRELATED MIMO SYSTEMS 认领 引用 被引量:2
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作者 Meng Qingmin Hua Jingyu +1 位作者 You Xiaohu Zhuang Xiangyang 《Journal of Electronics(China)》 2007年第6期732-739,共8页
In this paper a method that combines transmit antenna selection and reduced-constellation detection in spatially correlated Multi-Input Multi-Output (MIMO) fading channels is presented. To mitigate the performance d... In this paper a method that combines transmit antenna selection and reduced-constellation detection in spatially correlated Multi-Input Multi-Output (MIMO) fading channels is presented. To mitigate the performance degradation caused by the use of antenna selection that is based on correlation among columns, an iterative receiver scheme that uses only a subset of the constellation points close to the expected symbol vahle estimated in the previous iteration is proposed. The size of the subset can adapt to the maximum correlation of the sub-matrix after the simple antenna selection. Furthermore, the error rate performance of the scheme under linear Miniinutn Mean Square Error (MMSE) or Ordered Successive Interference Cancellation (OSIC) for the first run detection and different interleaver lengths is investigated while the transnlit antenna selection is considered. The simulation results show a significant advantage both for implementation complexity and for error rate performance under a fixed data rate. 展开更多
关键词 Multi-Input Multi-Output (MIMO) Antenna selection Correlation Reduced-complexity detection method Iterative receiver
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Ordered successive noise projection cancellation algorithm for dual lattice-reduction-aided MIMO detection 认领 引用 被引量:2
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作者 刘金铸 邢松 沈连丰 《Journal of Southeast University(English Edition)》 EI CAS 2013年第3期229-234,共6页
A novel nonlinear multi-input multi-output MIMO detection algorithm is proposed which is referred to as an ordered successive noise projection cancellation OSNPC algorithm. It is capable of improving the computation p... A novel nonlinear multi-input multi-output MIMO detection algorithm is proposed which is referred to as an ordered successive noise projection cancellation OSNPC algorithm. It is capable of improving the computation performance of the MIMO detector with the conventional ordered successive interference cancellation OSIC algorithm. In contrast to the OSIC in which the known interferences in the input signal vector are successively cancelled the OSNPC successively cancels the known noise projections from the decision statistic vector. Analysis indicates that the OSNPC is equivalent to the OSIC in error performance but it has significantly less complexity in computation.Furthermore when the OSNPC is applied to the MIMO detection with the preprocessing of dual lattice reduction DLR the computational complexity of the proposed OSNPC-based DLR-aided detector is further reduced due to the avoidance of the inverse of the reduced basis of the dual lattice in computation compared to that of the OSIC-based one. Simulation results validate the theoretical conclusions with regard to both the performance and complexity of the proposed MIMO detection scheme. 展开更多
关键词 ordered successive noise projection cancellation(OSNPC) dual lattice reduction (DLR) multi-input multi-output (MIMO) detection ordered successive interferencecancellation (OSIC)
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MIMO RADAR IMAGING MODEL AND ALGORITHM 认领 引用 被引量:3
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作者 Wang Huaijun Lei Wentai +1 位作者 Huang Chunlin Su Yi 《Journal of Electronics(China)》 2009年第5期577-583,共7页
Based on the array architecture of multiple transmittingeceiving antennas,Multi-Input Multi-Output(MIMO)radar provides a new mechanism for radar imaging technology.In order to explore the processing approach to this i... Based on the array architecture of multiple transmittingeceiving antennas,Multi-Input Multi-Output(MIMO)radar provides a new mechanism for radar imaging technology.In order to explore the processing approach to this imaging mechanism,the two dimensional(2D)imaging model of MIMO radar is established first,and the spatial sampling ability is analyzed from the concept of spatial convolution of the antenna elements.The target spatial spectral filling format of MIMO radar with monochromatic transmitting signal is described.High-resolution imaging capability of MIMO radar is analyzed according to spatial spectral coverage and the corresponding imaging algorithm is presented.Finally,field imaging experiment is used to demonstrate the superior imaging performance of MIMO radar. 展开更多
关键词 Multi-Input Multi-Output(MIMO)radar Radar imaging Spatial sampling
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A Hybrid Integrated and Low-Cost Multi-Chip Broadband Doherty Power Amplifier Module for 5G Massive MIMO Application 认领 引用
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作者 Fei Huang Guansheng Lv +2 位作者 Huibo Wu Wenhua Chen Zhenghe Feng 《Engineering》 SCIE EI CAS CSCD 2024年第7期223-232,共10页
In this paper,a hybrid integrated broadband Doherty power amplifier(DPA)based on a multi-chip module(MCM),whose active devices are fabricated using the gallium nitride(GaN)process and whose passive circuits are fabric... In this paper,a hybrid integrated broadband Doherty power amplifier(DPA)based on a multi-chip module(MCM),whose active devices are fabricated using the gallium nitride(GaN)process and whose passive circuits are fabricated using the gallium arsenide(GaAs)integrated passive device(IPD)process,is proposed for 5G massive multiple-input multiple-output(MIMO)application.An inverted DPA structure with a low-Q output network is proposed to achieve better bandwidth performance,and a single-driver architecture is adopted for a chip with high gain and small area.The proposed DPA has a bandwidth of 4.4-5.0 GHz that can achieve a saturation of more than 45.0 dBm.The gain compression from 37 dBm to saturation power is less than 4 dB,and the average power-added efficiency(PAE)is 36.3%with an 8.5 dB peak-to-average power ratio(PAPR)in 4.5-5.0 GHz.The measured adjacent channel power ratio(ACPR)is better than50 dBc after digital predistortion(DPD),exhibiting satisfactory linearity. 展开更多
关键词 5G Doherty power amplifier Multi-input multi-output Multi-chip modules Hybrid integrated
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Distributed Cooperative Anti-Disturbance Control for High-Order MIMO Nonlinear Multi-Agent Systems 认领 引用
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作者 JIN Feiyu CHEN Longsheng +1 位作者 LI Tongshuai SHI Tongxin 《Journal of Shanghai Jiaotong university(Science)》 EI 2024年第4期656-666,共11页
To solve the synchronization and tracking problems,a cooperative control scheme is proposed for a class of higher-order multi-input and multi-output(MIMO)nonlinear multi-agent systems(MASs)subjected to uncertainties a... To solve the synchronization and tracking problems,a cooperative control scheme is proposed for a class of higher-order multi-input and multi-output(MIMO)nonlinear multi-agent systems(MASs)subjected to uncertainties and external disturbances.First,coupled relationships among Laplace matrix,leader-following adjacency matrix and consensus error are analyzed based on undirected graph.Furthermore,nonlinear disturbance observers(NDOs)are designed to estimate compounded disturbances in MASs,and a distributed cooperative anti-disturbance control protocol is proposed for high-order MIMO nonlinear MASs based on the outputs of NDOs and dynamic surface control approach.Finally,the feasibility and effectiveness of the proposed scheme are proven based on Lyapunov stability theory and simulation experiments. 展开更多
关键词 nonlinear disturbance observer(NDO) higher-order multi-input and multi-output(MIMO)system multi-agent system cooperative control disturbance suppression
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A TSE based design for MMSE and QRD of MIMO systems based on ASIP 认领 引用
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作者 冯雪林 SHI Jinglin +3 位作者 CHEN Yang FU Yanlu ZHANG Qineng XIAO Feng 《High Technology Letters》 EI CAS 2023年第2期166-173,共8页
A Taylor series expansion(TSE) based design for minimum mean-square error(MMSE) and QR decomposition(QRD) of multi-input and multi-output(MIMO) systems is proposed based on application specific instruction set process... A Taylor series expansion(TSE) based design for minimum mean-square error(MMSE) and QR decomposition(QRD) of multi-input and multi-output(MIMO) systems is proposed based on application specific instruction set processor(ASIP), which uses TSE algorithm instead of resource-consuming reciprocal and reciprocal square root(RSR) operations.The aim is to give a high performance implementation for MMSE and QRD in one programmable platform simultaneously.Furthermore, instruction set architecture(ISA) and the allocation of data paths in single instruction multiple data-very long instruction word(SIMD-VLIW) architecture are provided, offering more data parallelism and instruction parallelism for different dimension matrices and operation types.Meanwhile, multiple level numerical precision can be achieved with flexible table size and expansion order in TSE ISA.The ASIP has been implemented to a 28 nm CMOS process and frequency reaches 800 MHz.Experimental results show that the proposed design provides perfect numerical precision within the fixed bit-width of the ASIP, higher matrix processing rate better than the requirements of 5G system and more rate-area efficiency comparable with ASIC implementations. 展开更多
关键词 multi-input and multi-output(MIMO) minimum mean-square error(MMSE) QR decomposition(QRD) Taylor series expansion(TSE) application specific instruction set processor(ASIP) instruction set architecture(ISA) single instruction multiple data(SIMD) very long instruction word(VLIW)
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