Observer-Based Adaptive Finite-Time Quantized Tracking Control of Nonstrict-Feedback Nonlinear Systems With Asymmetric Actuator Saturation

Yu, Zhensheng; Yang, Yekai; Li, Shugang; Sun, Jitao

doi:10.1109/tsmc.2018.2854927

Cited by 51 publications

(40 citation statements)

References 55 publications

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“…(1) is paper proposes design process of a novel finitetime switched state observer which is designed to improve control performances for the switched system with unknown backlash-like hysteresis. In contrast with [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] which studies finite-time adaptive tracking controller, the smaller tracking error will be achieved with an FTSO for the same controller. In addition, with the presented control approach, all known state assumptions are removed by using the FTSO.…”

Section: Introductionmentioning

confidence: 99%

“…In the past decades, great attentions and developments have been gained in nite-time adaptive control design, which developed a great number of typical design approaches in the literature (see, e.g., [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]). A variety of di erent types of complex nonlinear systems have been explored by using neural networks or the fuzzy logic system-based adaptive backstepping technique.…”

Section: Introductionmentioning

confidence: 99%

“…Li et al [6] presented a nite-time fuzzy adaptive output feedback control for the rst time for nonstrict-feedback nonlinear systems, while it overcame the problem of explosion of complexity by using the dynamic surface control technique. Moreover, Yu et al [7] investigated an adaptive nite-time quantized tracking problem with input and output quantization and asymmetric actuator saturation, and they designed an observer-based adaptive nite-time quantized tracking controller at the same time. In [8], Liu et al studied a nite-time adaptive fuzzy tracking control problem and proposed a nite-time adaptive state feedback fuzzy tracking controller with a new concept named nite-time performance function.…”

Section: Introductionmentioning

confidence: 99%

“…In [8], Liu et al studied a nite-time adaptive fuzzy tracking control problem and proposed a nite-time adaptive state feedback fuzzy tracking controller with a new concept named nite-time performance function. Although a novel assessment standard of the nite-time semiglobal practical stability (SGPS) was found in [1][2][3][4][5][6][7][8], the main innovations of those literatures are designed controllers for nonswitched systems. Sui et al [9] solved a nite-time switching control issue for nonstrictfeedback nonlinear switched systems, and they also constructed a novel nite-time SGPS for switched systems.…”

Section: Introductionmentioning

confidence: 99%

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Finite‐Time Observer‐Based Adaptive Control of Switched System with Unknown Backlash‐Like Hysteresis

Sun

2019

Complexity

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This work investigates a finite-time observer problem for a class of uncertain switched nonlinear systems in strict-feedback form, preceded by unknown hysteresis. By using a finite-time performance function, a finite-time switched state observer (FTSO) is derived using radial basis function neural networks (RBFNNs) to estimate the unmeasured states. An adaptive feedback neural network tracking control is derived based on the backstepping technique, which guarantees that all the signals of the closed-loop system are bounded, the output tracking error converges to zero, and the observer error converges to a prescribed arbitrarily small region within a finite-time interval. In addition, two simulation studies and an experiment test are provided to verify the feasibility and effectiveness of the theoretical finding in this study.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Finite‐Time Observer‐Based Adaptive Control of Switched System with Unknown Backlash‐Like Hysteresis

Sun

2019

Complexity

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“…In the case of the asymptotic stability, the asymptotic behaviour of the controlled system is considered within a sufficiently long (in principle infinite) time interval. In order to improve the convergence speed for meeting the practical control requirement, the finite‐time adaptive control problem for non‐linear systems has been investigated in [13–18]. In [14], the adaptive finite‐time controller based on backstepping technique was obtained for a class of parametric strict‐feedback non‐linear systems.…”

Section: Introductionmentioning

confidence: 99%

Fixed‐time adaptive fuzzy control for uncertain non‐linear systems under event‐triggered strategy

Yang

Niu

2020

IET Control Theory & Appl

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Observer‐based controller for nonaffine time‐delayed systems subject to input nonlinearities, state constraints, and unknown control direction

Mohit

Shahrokhi

Kamalamiri

2022

Adaptive Control & Signal

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In this work, an adaptive observer-based control scheme has been designed for uncertain nonaffine nonstrict feedback systems subject to state time delay, various types of input nonlinearities, time-varying asymmetric state constraints, and unknown control direction. Compared to the existing controllers for systems with state constraints, the designed control scheme in this work can be applied to state-constrained systems with nonaffine structure subject to state delays, unknown control direction, and different types of input nonlinearities, while full-states measurement is not required. Moreover, by introducing a novel saturated Nussbaum function in the present work, not only has the problem of unknown control direction been handled, but also the probability of a control shock due to applying the conventional Nussbaum functions has been eliminated. The system unknown dynamics has been approximated by using neural networks (NNs), and by updating the maximum norm of NNs weight vectors, only one adaptive law is required for the controller implementation. By employing appropriate Lyapunov functions, it has been shown that all signals in the closed-loop system are bounded, state constraints are satisfied, and the output tracking error can be made small by selecting appropriate design parameters.The effectiveness of the designed control scheme has been shown through two simulation studies. Moreover, the superiority of the proposed saturated Nussbaum function in comparison with conventional Nussbaum functions has been shown via simulation. K E Y W O R D Sinput nonlinearity, intelligent approximator, nonstrict feedback systems, state constraints, unknown control direction INTRODUCTIONRecently, control of systems with constraints has attracted a great deal of attention because many real systems are subject to constraints such as wheeled mobile robotic systems 1 and chemical processes. 2 Constraints may appear as physical restrictions, performance requirements, or safety considerations. 3 Input, state, and output constraints are the three major types of constraints investigated in the literature. For example, an adaptive controller has been designed for a class of 2122

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Observer-Based Adaptive Finite-Time Quantized Tracking Control of Nonstrict-Feedback Nonlinear Systems With Asymmetric Actuator Saturation

Cited by 51 publications

References 55 publications

Finite‐Time Observer‐Based Adaptive Control of Switched System with Unknown Backlash‐Like Hysteresis

Finite‐Time Observer‐Based Adaptive Control of Switched System with Unknown Backlash‐Like Hysteresis

Fixed‐time adaptive fuzzy control for uncertain non‐linear systems under event‐triggered strategy

Observer‐based controller for nonaffine time‐delayed systems subject to input nonlinearities, state constraints, and unknown control direction

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