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Event-Triggered Dynamic Output Feedback Control for Networked T-S Fuzzy Systems With asynchronous premise variables

IEEE ACCESS 2018年 6卷 78740-78750页

作者： Ran, Guang-Tao Lu, Zhong-Da Xu, Feng-Xia Lu, Jun-Xiao Qiqihar Univ Sch Comp & Control Engn Qiqihar 161006 Peoples R China Harbin Univ Sci & Technol Coll Comp Sci & Technol Harbin 150080 Heilongjiang Peoples R China

This paper investigates the problem of event-triggered dynamic output feedback control for networked Takagi-Sugeno (T-S) fuzzy systems with asynchronous premise variables. Our attention is focused on the design of an event-triggered fuzzy dynamic output feedback controller that guarantees that the closed-loop system is asymptotically stable. First, with consideration of the limited bandwidth and restricted network resource, an event-triggered communication scheme is proposed to save the limited network resource. Second, different from the existing results in the literature, a fuzzy dynamic output feedback controller with asynchronous premise variables is constructed such that the premise membership functions are not necessarily the same as the networked T-S fuzzy systems. Then, by using the Wirtinger inequality and some slack matrices, a less conservative stability and stabilization conditions for the existence of fuzzy dynamic output feedback controller are derived in the form of linear matrix inequalities, which can be solved by the standard MATLAB toolbox. Finally, an example is given to demonstrate the effectiveness of the designed event-triggered fuzzy dynamic output feedback controller.

关键词： Networked T-S fuzzy systems asynchronous premise variables event-triggered communication scheme dynamic output feedback control Wirtinger inequality

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Robust Takagi-Sugeno fuzzy control design for non-linear networked control systems with asynchronous premise variables

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IET CONTROL THEORY AND APPLICATIONS 2013年第6期7卷 910-919页

作者： Kim, Sung Hyun Univ Ulsan UOU Dept Elect Engn Ulsan 680749 South Korea

This study is devoted to controlling a class of non-linear systems in the presence of packet transmission delays, packet losses and sampling-related phenomena over a communication network. To increase the applicability of the Takagi-Sugeno (T-S) fuzzy approach for non-linear networked control systems, this study sets the premise variables in T-S fuzzy plant and control to be asynchronous and then introduces a useful relaxation technique in a better position to handle the asynchronous problem. Moreover, this study provides a method capable of exploiting fully the induced delay term d(t) from the derivation of robust stabilisation condition.

关键词： control system synthesis delays fuzzy control nonlinear control systems robust control networked control systems robust Takagi-Sugeno fuzzy control design nonlinear networked control systems asynchronous premise variables packet transmission delays packet loss sampling-related phenomena Takagi-Sugeno fuzzy approach TS fuzzy approach T-S fuzzy plant relaxation technique robust stabilisation condition

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Dynamic Feedback Tracking Control for Interval Type-2 T-S Fuzzy Nonlinear System Based on Adaptive Event-Triggered Strategy

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NEURAL PROCESSING LETTERS 2023年第2期55卷 1715-1740页

作者： Jia, Yang Ran, Guangtao Gong, Youmin Wang, Lijing Xu, Fengxia Qiqihar Univ Sch Commun & Elect Engn 42 Wenhua St Qiqihar 161006 Peoples R China Heilongjiang Univ Sch Elect Engn 74 Xuefu Rd Harbin 150080 Peoples R China Harbin Inst Technol Dept Control Sci & Engn Xidazhi St Harbin 150080 Peoples R China

This paper explores the tracking control problem for a category of discrete-time nonlinear networked control systems (NCSs) with unknown state, parameter uncertainty, data packet dropout and time delay. Our aim is to construct a dynamic tracking feedback controller with a novel event-triggered (ET) scheme to guarantee the system output can track the reference output signal within an allowable error range. With the purpose of reducing the utilization of network resources, an improved adaptive ET communication scheme is designed at first, which can save more network resources. Secondly, the uncertainties can be easily expressed by using the interval type-2 (IT2) T-S fuzzy model to describe the nonlinear systems. Next, a dynamic feedback controller with asynchronous premise variables is designed, and the sufficient conditions for less conservative stability of the system and the design method of the controller are obtained by applying slack matrices. Finally, numerical examples are provided to further illustrate the validity of the strategy proposed in this paper.

关键词： Event-triggered (ET) control Nonlinear control asynchronous premise variables Tracking control

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An adaptive torus-event-based Script capital H∞ controller design for networked T-S fuzzy systems under deception attacks

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 2022年第6期32卷 3425-3441页

作者： Zhu, Shuangxin Tian, Engang Xu, Donghui Liu, Jinliang Univ Shanghai Sci & Technol Sch Opt Elect & Comp Engn Shanghai 200093 Peoples R China Nanjing Univ Finance & Econ Coll Informat Engn Nanjing Peoples R China

This article addresses the adaptive torus-event-based Script capital H-infinity control problem for a class of networked Takagi-Sugeno (T-S) fuzzy systems under deception attacks. Due to the inherent openness of the network, the inevitable deception attacks in the networked T-S fuzzy systems always appear randomly. The occurrence of deception attacks is successfully described by using a binary stochastic variable with known statistical characteristics. Under the considered adaptive torus-event-based communication mechanism, Script capital H-infinity fuzzy controllers are constructed to guarantee the asymptotically mean-square stability (AMSS) and the Script capital H-infinity index of the networked T-S fuzzy systems under deception attacks. To design the desired Script capital H-infinity fuzzy controllers, a unified framework of the networked T-S fuzzy systems is first established via the adaptive torus-event-based communication mechanism, the mathematical model of deception attacks, and the asynchronous premise technology. By utilizing the extended Lyapunov function, the sufficient conditions are simultaneously derived to address the AMSS and the disturbance suppression issues of closed-loop control systems. Subsequently, the adaptive torus-event-based Script capital H-infinity fuzzy controller gains are calculated via linear matrix inequalities. Finally, a simulation example concerning the tunnel circuit system is established to verify the availability and reliability of the proposed control mechanism.

关键词： adaptive torus-event-based mechanism asynchronous premise variables deception attacks H-infinity control networked T-S fuzzy systems

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Sampled-Data asynchronous Control for Switched Nonlinear Systems With Relaxed Switching Rules

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IEEE TRANSACTIONS ON CYBERNETICS 2022年第11期52卷 11549-11560页

作者： Guan, Chaoxu Chen, Weizhong Yang, Liu Fei, Zhongyang Dongguan Univ Technol Sch Elect Engn & Intelligentizat Dongguan 523000 Peoples R China Harbin Inst Technol Res Inst Intelligent Control & Syst Harbin 150001 Peoples R China Minist Educ Key Lab Intelligent Control & Optimizat Ind Equip Dalian 116024 Peoples R China Dalian Univ Technol Sch Control Sci & Engn Dalian 116024 Peoples R China

This article investigates the problem of quantized sampled-data control for continuous-time switched Takagi-Sugeno (T-S) fuzzy systems with the asynchronous phenomenon. First, considering that the system and controller modes could not be perfectly synchronized all the time, we study possible cases of mode mismatching by exploiting the average dwell time (ADT) switching strategy. Since the fact that a minimum dwell time of each subsystem is not required in the ADT switching rule, multiple system switching is allowed within one sampling interval, which overcomes the limitation of at most once switching during any sampling interval in existing works. Second, the asynchronous premise variables between the fuzzy system and fuzzy controller are taken into consideration in the quantized sampled-data control scheme. Then, by virtue of the Lyapunov function approach, we obtain sufficient conditions to guarantee that the asynchronously switched T-S fuzzy system is exponentially stable with quantized sampled-data input. Furthermore, the weighted L-2-gain is discussed for the system under external disturbance, and an H-infinity state feedback controller is correspondingly designed with prescribed disturbance attenuation. Finally, the validity and advantage of the proposed methods are illustrated by two examples.

关键词： asynchronous premise variables asynchronous switching multiple Lyapunov functions quantized sampled-data control switched Takagi-Sugeno (T-S) fuzzy systems

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Disturbance Observer-based H∞ Control for Interval Type-2 T-S Fuzzy Systems With An Event-triggered Communication 35

Disturbance Observer-based H∞ Control for Interval Type-2 T...

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35th Chinese Control and Decision Conference (CCDC)

作者： Yang, Wan-Yi Zhao, Zi-Yi Yu, Jia-Yi Lu, An Chen, Xiao-Yan Guo, Xiang-Gui Univ Sci & Technol Bejing Shunde Innovat Sch Foshan Peoples R China Univ Sci & Technol Bejing Sch Automat & Elect Engn Beijing Peoples R China Univ Sci & Technol Bejing Beijing Engn Res Ctr Ind Spectrum Imaging Beijing Peoples R China

ISBN: (纸本)9798350334722

This paper deals with the asynchronous fuzzy H-infinity control for nonlinear network control systems with network-induced delays, exogenous signal disturbances, and asynchronous premise variables. This system is represented by the interval type-2 Takagi-Sugeno (IT2 T-S) fuzzy model. An asynchronous disturbance observer is designed to estimate the system states and the disturbances simultaneously. In addition, an event-triggered communication (ETC) is developed to reduce network costs. Finally, the feasibility of DO and fuzzy controllers is verified by numerical simulation.

关键词： Disturbance observer Interval type-2 Takagi-Sugeno (IT2 T-S) fuzzy model asynchronous premise variables Event-triggered communication

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Disturbance Observer-based H∞ Control for Interval Type-2 T-S Fuzzy Systems With An Event-triggered Communication

Disturbance Observer-based H∞ Control for Interval Type-2 T...

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第35届中国控制与决策会议

作者： Wan-Yi Yang Zi-Yi Zhao Jia-Yi Yu An Lu Xiao-Yan Chen Xiang-Gui Guo Shunde Innovation School University of Science and Technology Bejing School of Automation and Electrical Engineering University of Science and Technology Bejing Beijing Engineering Research Center of Industrial Spectrum Imaging University of Science and Technology Bejing

This paper deals with the asynchronous fuzzy Hcontrol for nonlinear network control systems with networkinduced delays,exogenous signal disturbances,and asynchronous premise *** system is represented by the interval type-2 Takagi-Sugeno（IT2 T-S） fuzzy *** asynchronous disturbance observer is designed to estimate the system states and the disturbances *** addition,an event-triggered communication（ETC） is developed to reduce network ***,the feasibility of DO and fuzzy controllers is verified by numerical simulation.

关键词： Disturbance observer Interval type-2 Takagi-Sugeno(IT2 T-S)fuzzy model asynchronous premise variables Event-triggered communication

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Event-triggered stabilisation for T-S fuzzy systems with asynchronous premise constraints and its application to wind turbine system

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IET CONTROL THEORY AND APPLICATIONS 2019年第10期13卷 1532-1542页

作者： Gnaneswaran, Nagamani Joo, Young Hoon Gandhigram Rural Inst Deemed Be Univ Dept Math Gandhigram 624302 Tamil Nadu India Kunsan Natl Univ Sch IT Informat & Control Engn 558 Daehak Ro Gunsan Si 54150 Jeollabuk Do South Korea

In this study, an event-triggered fuzzy controller is designed to stabilise a class of non-linear systems expressed as a Takagi-Sugeno (T-S) fuzzy model with mismatched membership functions. At first, an event-triggered fuzzy controller has been designed in terms of induced time delay. Secondly, the event-triggered fuzzy system is presented as a time-delay model with the asynchronous premise variables. Then, by introducing a time-dependent Lyapunov-Krasovskii functional and based on the fuzzy based control approach, linear matrix inequality-based stability conditions are established to guarantee the asymptotic stability of the proposed T-S fuzzy model. The derived conditions utilise the information on the membership functions of both fuzzy system and fuzzy controller. Finally, the proposed theoretical results are applied to stabilise the variable speed wind turbine system while saving the limited network resources. Further, through the truck-trailer example, the merits and the design procedure of the proposed technique have been demonstrated.

关键词： Lyapunov methods nonlinear control systems fuzzy control delays linear matrix inequalities fuzzy systems wind turbines control system synthesis asymptotic stability event-triggered fuzzy controller nonlinear systems mismatched membership functions induced time delay event-triggered fuzzy system time-delay model asynchronous premise variables fuzzy based control approach linear matrix inequality-based stability conditions T-S fuzzy model variable speed wind turbine system event-triggered stabilisation T-S fuzzy systems asynchronous premise constraints Takagi-Sugeno fuzzy model time-dependent Lyapunov-Krasovskii functional

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