A new fuzzy observer for lag synchronization is given in this paper. By investi- gating synchronization of chaotic systems, the structure of drive-response lag synchronization for fuzzy chaos system based on fuzzy obs...A new fuzzy observer for lag synchronization is given in this paper. By investi- gating synchronization of chaotic systems, the structure of drive-response lag synchronization for fuzzy chaos system based on fuzzy observer is proposed. A new lag synchronization criterion is derived using the Lyapunov stability theorem, in which control gains are obtained under the LMI condition. The proposed approach is applied to the well-known Chen＇s systems. A simulation example is presented to illustrate its effectiveness.展开更多
A novel H∞ tracking-based decentralized indirect adaptive output feedback fuzzy controller for a class of uncertain large-scale nonlinear systems is developed. By virtue of the proper filtering of the observation err...A novel H∞ tracking-based decentralized indirect adaptive output feedback fuzzy controller for a class of uncertain large-scale nonlinear systems is developed. By virtue of the proper filtering of the observation error dynamics, the observer-based decentralized indirect adaptive fuzzy control scheme is presented for a class of large-scale nonlinear systems using the combination of H∞ tracking technique, a fuzzy adaptive observer and fuzzy inference systems. The output feedback and adaptation mechanisms are both robust and implementable indeed owing to their freedom from the unavailable observation error vector. All the signals of the closed-loop largescale system are guaranteed to stay uniformly bounded and the output errors take on H∞ tracking performance. Simulation results substantiate the effectiveness of the proposed scheme.展开更多
This paper deals with the synthesis of fuzzy controller applied to the induction motor with a guaranteed model reference tracking performance. First, the Takagi-Sugeno （T-S） fuzzy model is used to approximate the no...This paper deals with the synthesis of fuzzy controller applied to the induction motor with a guaranteed model reference tracking performance. First, the Takagi-Sugeno （T-S） fuzzy model is used to approximate the nonlinear system in the synchronous d-q frame rotating with field-oriented control strategy. Then, a fuzzy state feedback controller is designed to reduce the tracking error by minimizing the disturbance level. The proposed controller is based on a T-S reference model in which the desired trajectory has been specified. The inaccessible rotor flux is estimated by a T-S fuzzy observer. The developed approach for the controller design is based on the synthesis of an augmented fuzzy model which regroups the model of induction machine, fuzzy observer, and reference model. The gains of the observer and controller are obtained by solving a set of linear matrix inequalities （LMIs）. Finally, simulation and experimental results are given to show the performance of the observer-based tracking controller.展开更多
This paper designs and analyzes switching fuzzy reduced-order observer and proves that the corre- sponding separation principle does hold. A numerical simulation and comparison with smooth fuzzy full-order observer ar...This paper designs and analyzes switching fuzzy reduced-order observer and proves that the corre- sponding separation principle does hold. A numerical simulation and comparison with smooth fuzzy full-order observer are given to assess switching fuzzy reduced-order observer and the validity of the separation principles.展开更多
This paper investigates an innovative predefined time output feedback adaptive fuzzy consensus control method for fractional-order nonlinear multi-agent systems(FONMASs).The controlled system includes unmeasurable sta...This paper investigates an innovative predefined time output feedback adaptive fuzzy consensus control method for fractional-order nonlinear multi-agent systems(FONMASs).The controlled system includes unmeasurable states and unknown nonlinear functions.The fuzzy state observer is built to evaluate unmeasurable state variables,unknown nonlinear functions are addressed through fuzzy logic system approximation.Combining with fractional-order dynamic surface control(DSC)and the theory of stability of predefined time,the control method is raised.By employing FODSC techniques,the computational explosion problem can be avoided.The stability of the closed-loop system is analyzed using the Lyapunov function,demonstrating that FONMAS achieves semi-global practical predefined time stability(SGPPTS).Eventually,the validity of the prescribed control strategy is verified by a simulation case.展开更多
基金supported by the National Natural Science Foundation of China (No. 60872060)the Key Projects of Shanghai Municipal Commission of Education (No. 06ZZ84)
文摘A new fuzzy observer for lag synchronization is given in this paper. By investi- gating synchronization of chaotic systems, the structure of drive-response lag synchronization for fuzzy chaos system based on fuzzy observer is proposed. A new lag synchronization criterion is derived using the Lyapunov stability theorem, in which control gains are obtained under the LMI condition. The proposed approach is applied to the well-known Chen＇s systems. A simulation example is presented to illustrate its effectiveness.
基金supported by the National Natural Science Foundation of China(90510010).
文摘A novel H∞ tracking-based decentralized indirect adaptive output feedback fuzzy controller for a class of uncertain large-scale nonlinear systems is developed. By virtue of the proper filtering of the observation error dynamics, the observer-based decentralized indirect adaptive fuzzy control scheme is presented for a class of large-scale nonlinear systems using the combination of H∞ tracking technique, a fuzzy adaptive observer and fuzzy inference systems. The output feedback and adaptation mechanisms are both robust and implementable indeed owing to their freedom from the unavailable observation error vector. All the signals of the closed-loop largescale system are guaranteed to stay uniformly bounded and the output errors take on H∞ tracking performance. Simulation results substantiate the effectiveness of the proposed scheme.
基金supported by AECID Projects(Nos. A/023792/09,A/030410/10 and AP/034911/11)
文摘This paper deals with the synthesis of fuzzy controller applied to the induction motor with a guaranteed model reference tracking performance. First, the Takagi-Sugeno （T-S） fuzzy model is used to approximate the nonlinear system in the synchronous d-q frame rotating with field-oriented control strategy. Then, a fuzzy state feedback controller is designed to reduce the tracking error by minimizing the disturbance level. The proposed controller is based on a T-S reference model in which the desired trajectory has been specified. The inaccessible rotor flux is estimated by a T-S fuzzy observer. The developed approach for the controller design is based on the synthesis of an augmented fuzzy model which regroups the model of induction machine, fuzzy observer, and reference model. The gains of the observer and controller are obtained by solving a set of linear matrix inequalities （LMIs）. Finally, simulation and experimental results are given to show the performance of the observer-based tracking controller.
基金Supported by the National Laboratory of Space Intelligent Control and Open Foundation (Grant No. SIC07010202)the National Natural Science Foundation of China (Grant Nos. 60604010, 90716021, 60736023)
文摘This paper designs and analyzes switching fuzzy reduced-order observer and proves that the corre- sponding separation principle does hold. A numerical simulation and comparison with smooth fuzzy full-order observer are given to assess switching fuzzy reduced-order observer and the validity of the separation principles.
基金funded in part by the National Natural Science Foundation of China under Grant Nos.62403226,62176111,and 62333004the Doctoral Research Initiation of Foundation of Liaoning Province,China under Grant No.2021-BS-260+5 种基金the general project of Liaoning Provincial Department of Education under Grant No.LIKZ0627Excellent Young Scientists Fund Program(Overseas)the“Xingliao Talent Plan”for young top talents under Grant No.XLYC22031882024 Fundamental Research Funding of the Educational Department of Liaoning Province under Grant No.LJZZ2224101540062024 Fundamental Research Funding of the Educational Department of Liaoning Province under Grant No.LJZZ2224101540012023 Education Department Basic Research Project(Youth Project)under Grant No.JYTQN2023225。
文摘This paper investigates an innovative predefined time output feedback adaptive fuzzy consensus control method for fractional-order nonlinear multi-agent systems(FONMASs).The controlled system includes unmeasurable states and unknown nonlinear functions.The fuzzy state observer is built to evaluate unmeasurable state variables,unknown nonlinear functions are addressed through fuzzy logic system approximation.Combining with fractional-order dynamic surface control(DSC)and the theory of stability of predefined time,the control method is raised.By employing FODSC techniques,the computational explosion problem can be avoided.The stability of the closed-loop system is analyzed using the Lyapunov function,demonstrating that FONMAS achieves semi-global practical predefined time stability(SGPPTS).Eventually,the validity of the prescribed control strategy is verified by a simulation case.
