Adaptive Fuzzy Tracking Control for a Class of Uncertain Switched Nonlinear Systems With Full-State Constraints and Input Saturations

Wu, Li‐Bing; Park, Ju H.; Xie, Xiangpeng; Zhao, Nannan

doi:10.1109/tcyb.2020.2965800

Cited by 42 publications

(12 citation statements)

References 51 publications

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“…We unable to use the control methods in [23]- [26], [31]- [39] to control switched system due to the switching problem. Moreover, when the controller of the non-strict feedback switched system is designed by the control methods in [7]- [11], [27], the virtual control signal and adaptive law of each subsystem are the functions of whole state variables. Consequently, the algebraic loop problem arises, which makes the controller design of a non-strict feedback switched system very difficult.…”

Section: Comparisons With Some Previous Resultsmentioning

confidence: 99%

“…However, the control methods in [23]- [26] were all aimed at unswitched systems in strict feedback structures and required that all states be measurable. In [27], an adaptive control for a full state constrained switched strict feedback system was designed, but these constraints are static, not time varying. Reference [28], [29] proposed a fuzzy adaptive tracking control approach by using ABLFs for switched non-strict feedback systems with full state constraints.…”

Section: Introductionmentioning

confidence: 99%

“…Reference [30] extended the results in [28], [29] to the controller design for MIMO systems. However, the control approaches in [27]- [30] required all the states to be measurable directly. To the best of our knowledge, there are no results on adaptive control for switched non-strict feedback systems with unmeasured states and full state time varying constraints.…”

Section: Introductionmentioning

confidence: 99%

“…The control methods in [23]- [26] were all aimed at a non-switched system in strict feedback form. The results in [27]- [30] require full states of the system to be measurable directly. At present, no existing reference can comprehensively solve the above problems.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Adaptive Dynamic Surface Control Based on Observer for Switched Non-Strict Feedback Systems With Full State Constraints

Wan

Yin

2020

IEEE Access

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As we all know, it is very difficult to design the controller and prove the stability for switched nonlinear systems. Therefore, the engineering application of switching system and the development of switching control theory are limited. In order to solve the control problem for constrained switched system, an adaptive output feedback control scheme based on backstepping technology is studied in this paper for switched non-strict feedback nonlinear systems with asymmetric time-varying full state constraints and unknown external disturbances. A switched state observer based on fuzzy logic system is designed to estimate the unmeasurable states of the uncertain switched system. Asymmetric time-varying barrier Lyapunov functions are adopted to keep the full states of the system satisfying their asymmetric timevarying constraints. A variable separation approach is used to address the algebraic loop problem of nonstrict feedback structure. The stability of the closed-loop system and the semi-globally uniformly ultimately bounds of the signals are proved by the Lyapunov method and average dwell time theory. Finally, simulation results are given to show the effectiveness of the proposed control scheme. Different from the existing results, this paper is the first to investigate adaptive control for switched non-strict feedback systems with full state time-varying constraints, unmeasurable states and unknown disturbances, which is a more general case in real systems.

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Section: Comparisons With Some Previous Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive Dynamic Surface Control Based on Observer for Switched Non-Strict Feedback Systems With Full State Constraints

Wan

Yin

2020

IEEE Access

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“…On the other hand, approximation-based adaptive fuzzy control is also studied by many researchers [29], [30]. And fuzzy tracking control is applied on various nonlinear systems, such as discrete-time nonlinear networked systems [31], switched stochastic pure-feedback nonlinear systems [32], switched nonstrict-feedback nonlinear systems [33], uncertain switched nonlinear systems [34], etc.…”

Section: Introductionmentioning

confidence: 99%

Integrated Optimal Design of Speed Profile and Fuzzy PID Controller for Train With Multifactor Consideration

Zhu

Liu³

et al. 2020

IEEE Access

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Speed profile design and tracking control are two important issues to ensure the performance of the automatic train operation system. Aiming to realize the maximum optimization probability of train running, this paper constructs an integrated optimal method through speed profile design and fuzzy PID controller design. In the recommended speed profile design, three typical running strategies are included in the proposed comprehensive scheme to extend solution space, and the constructed train performance simulation is combined with NSGA-II algorithm to solve such multiobjective problem. As for recommended speed profile tracking, in order to improve the tracking performance of the train, which is a nonlinear system, a fuzzy PID controller is designed to adaptively adjust PID gains. Note that multiple indicators of punctually, energy consumption, stopping accuracy and comfort are all considered in the integrated design. Taking Beijing Subway Line 8 as the numerical example, the results show that the design of speed profile and fuzzy PID controller are both effective, and energy consumption saves about 10.40% with other better indicators compared with the original data.

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Event‐triggered adaptive control for a class of switched nonlinear interconnected systems

Liu,

Zhao,

Chen

et al. 2023

Adaptive Control & Signal

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SummaryIn this article, the adaptive event‐triggered control issue is researched for a kind of switched nonlinear interconnected systems subject to unknown backlash‐like hysteresis and control coefficients. The fuzzy logic systems (FLSs) are employed to approximate the unknown nonlinear functions. To deal with the unknown control coefficients, the Nussbaum method and adaptive control are introduced. The proposed event‐triggered controller can effectively lessen the communication burden, meanwhile, the Zeno behavior is eliminated. It is guaranteed that the system outputs can track the reference signals and all the system signals are semi‐globally uniformly ultimately bounded (SGUUB). Finally, the simulation results verify the effectiveness of this control scheme.

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Adaptive Fuzzy Tracking Control for a Class of Uncertain Switched Nonlinear Systems With Full-State Constraints and Input Saturations

Cited by 42 publications

References 51 publications

Adaptive Dynamic Surface Control Based on Observer for Switched Non-Strict Feedback Systems With Full State Constraints

Adaptive Dynamic Surface Control Based on Observer for Switched Non-Strict Feedback Systems With Full State Constraints

Integrated Optimal Design of Speed Profile and Fuzzy PID Controller for Train With Multifactor Consideration

Event‐triggered adaptive control for a class of switched nonlinear interconnected systems

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