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State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems 认领 引用 被引量：2
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作者 Mohamed Hamdy 《International Journal of Automation and computing》 CSCD 2013年第2期118-124,共7页
This paper presents an observer based dynamic fuzzy logic system （DFLS） scheme for a class of unknown single-input single-output （SISO） nonlinear dynamic systems with external disturbances. The proposed approach d... This paper presents an observer based dynamic fuzzy logic system （DFLS） scheme for a class of unknown single-input single-output （SISO） nonlinear dynamic systems with external disturbances. The proposed approach does not need the availability of the state variables. Within this scheme, the DFLS is employed to identify the unknown nonlinear dynamic system. The control law and parameter adaptation laws of the DFLS are derived based on Lyapunov synthesis approach. The control law is robustfied in H∞ sense to attenuate external disturbance, model uncertainties, and fuzzy approximation errors. It is shown that under appropriate assumptions, it guarantees the boundedness of all the signals in the closed-loop system and the asymptotic convergence to zero of tracking errors. The proposed method is applied to an inverted pendulum system to verify the effectiveness of the proposed algorithms. 展开更多
关键词 Single-input single-output （SISO） nonlinear system dynamic fuzzy logic system （DFLS） observer Lyapunov synthesis approach stability analysis.
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The Multi-agent Learning Model Based on Dynamic Fuzzy Logic 认领 引用 被引量：2
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作者 Liping Xie Fanzhang Li 《通讯和计算机（中英文版）》 2006年第3期87-99,共13页
Machine Learning is one of the key problems of Artificial Intelligence, and the agent learning has become an important branch of machine learning. One of the main characters of intelligent agent is that it can adapt t... Machine Learning is one of the key problems of Artificial Intelligence, and the agent learning has become an important branch of machine learning. One of the main characters of intelligent agent is that it can adapt to the unknown environment. The ability to learn is the key property of agent. Because the learning act of agent is dynamic and fuzzy, this paper uses the conception of Dynamic Fuzzy Logic （DFL）tl]. Based on DFL, this paper first presents two single-agent learning algorithms, namely, single-agent leaning algorithm based on DFL with immediate reward and single-agent learning algorithm based on DFL with mediate reward. Then the paper gives a multi-agent learning model based on DFL, namely a multi-agent learning model planned on a whole. Furthermore, this paper validates that the model is useful by an example. 展开更多
关键词 Dynamic Fuzzy Logic Agent Learning Machine Learning
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A Dynamic Fuzzy Description Logic 认领 引用
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作者 FANG Wei XIAN Xuefeng ZHAO Pengpeng CUI Zhiming 《Wuhan University Journal of Natural Sciences》 CAS 2008年第4期417-420,共4页
Fuzzy description logics are considered as the logical infrastructure of fuzzy knowledge representation on the semantic Web. To deal with fuzzy and dynamic knowledge on the semantic Web and its applications, a new fuz... Fuzzy description logics are considered as the logical infrastructure of fuzzy knowledge representation on the semantic Web. To deal with fuzzy and dynamic knowledge on the semantic Web and its applications, a new fuzzy extension of Attribute Language with Complement based on dynamic fuzzy logic called the dynamic fuzzy description logic （DFALC） is presented. The syntax and semantics of DFALC are formally defined, and the forms of axioms and assertions are specified. The DFALC provides more reasonable logic foundation for the semantic Web, and overcomes the insufficiency of using fuzzy description logic FALC to act as logical foundation for the semantic Web. The extended DFALC is more expressive than the existing fuzzy description logics and present more fuzzy information on the semantic Web. 展开更多
关键词 dynamic fuzzy logic description logic dynamic fuzzy description logic semantic Web
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Application of direct adaptive fuzzy sliding mode control into a class of non-affine discrete nonlinear systems 认领 引用 被引量：4
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作者 Xiao-yu ZHANG 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2016年第12期1331-1343,共13页
Direct adaptive fuzzy sliding mode control design for discrete non-affine nonlinear systems is presented for trajectory tracking problems with disturbance. To obtain adaptiveness and eliminate chattering of sliding mo... Direct adaptive fuzzy sliding mode control design for discrete non-affine nonlinear systems is presented for trajectory tracking problems with disturbance. To obtain adaptiveness and eliminate chattering of sliding mode control, a dynamic fuzzy logical system is used to implement an equivalent control, in which the parameters are self-tuned online. Stability of the sliding mode control is validated using the Lyapunov analysis theory. The overall system is adaptive, asymptotically stable, and chattering-free. A numerical simulation and an application to a robotic arm with two degrees of freedom further verify the good performance of the control design. 展开更多
关键词 Nonlinear system Discrete system Dynamic fuzzy logical system Direct adaptive Sliding mode control
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