Prescribed performance adaptive fault-tolerant tracking control for nonlinear time-delay systems with input quantization and unknown control directions

Wang, Cai-Cheng; Yang, Guang‐Hong

doi:10.1016/j.neucom.2018.05.063

Cited by 28 publications

(33 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the parameters of the hysteretic quantizer should be known for control design. Although the above parameter decomposition conditions are eliminated in References and by employing neural networks, the prescribed performance and state constraints are not considered. Therefore, in contrast with the existing quantized control systems, the quantized control of strict‐feedback nonlinear systems with nonparametric uncertainties in the presence of error/state constraints without involving feasibility conditions is more general and more challenging.…”

Section: Modeling and Problem Formulationmentioning

confidence: 99%

“…In References and , fuzzy/neural adaptive quantized controls were proposed for nonlinear systems under the assumption of known quantization parameters. The work in Reference also developed an adaptive neural control for input‐quantized nonlinear systems, whereas the requirement on quantization parameters was removed. In addition, the work in Reference studied the global synchronization of complex dynamical network under digital communication with limited bandwidth.…”

Section: Introductionmentioning

confidence: 99%

“…However, such online optimization‐based methods may suffer from the heavy online computation burden as the solution should be obtained between two sampling times . In addition, although the prescribed performance function (PPF)‐based controls can cope with the problem of error constraints, how to employ such approach handling state constraints without involving feasibility conditions is still an open problem. Recently, motivated by Reference , barrier Lyapunov function (BLF) is becoming a prevalent way to handle output/state constraints.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust adaptive fault‐tolerant quantized control of nonlinear systems with constraints on system behaviors and states

Zhao

Lei

Lin

et al. 2020

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

In this work, we develop a robust adaptive fault-tolerant tracking control scheme for a class of input-quantized strict-feedback nonlinear systems in the presence of error/state constraints and actuation faults. The problem is rather complicated yet challenging if nonparametric uncertainties and unknown quantization parameters as well as time-varying yet completely undetectable actuation faults are involved in the considered systems. Compared with the most existing approaches in the literature, the proposed control exhibits several attractive advantages: (1) upon using a nonlinear decomposition for quantized input and employing the robust technique for actuation fault, not only the exact knowledge of quantization parameters are not required, but also the actuation fault can be easily compensated since neither fault detection and diagnosis/fault detection and identification nor controller reconfiguration is needed; (2) based on the error/state-dependent unified nonlinear function, the constraints on tracking error and system states are directly handled and the cases with or without constraints can also be addressed in a unified manner without changing the control structure; and (3) the utilization of unified nonlinear function-based dynamic surface control not only avoids the problem of the explosion of complexity in traditional backstepping design, but also bypasses the demanding feasibility conditions of virtual controllers. Furthermore, by using the Lyapunov analysis, it is ensured that all signals in the closed-loop systems are uniformly ultimately bounded. The effectiveness of the developed control algorithm is confirmed by numerical simulations. K E Y W O R D Serror/state constraints, fault-tolerant control, quantized input, robust adaptive control, strict-feedback nonlinear systems, unified nonlinear function INTRODUCTIONIn the past decade, networked control has drawn a great deal of attention as its advantages in low cost of installation and flexibility in system implementation. There are several communication constraints in the control of networked Int J Robust Nonlinear Control. 2020;30:3215-3233. wileyonlinelibrary.com/journal/rnc

show abstract

Section: Modeling and Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust adaptive fault‐tolerant quantized control of nonlinear systems with constraints on system behaviors and states

Zhao

Lei

Lin

et al. 2020

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

show abstract

“…The prescribed performance control means that the tracking error of systems can converge to a small interval, and the dynamic and steady‐state performance of the tracking error can be converged according to the preset performance . Traditional prescribed performance can limit greatly the dynamic process (convergence rate and overshoot) of tracking error ,.…”

Section: Introductionmentioning

confidence: 99%

“…The prescribed performance control means that the tracking error of systems can converge to a small interval, and the dynamic and steady-state performance of the tracking error can be converged according to the preset performance. [20][21][22][23][24] Traditional prescribed performance can limit greatly the dynamic process (convergence rate and overshoot) of tracking error. [20][21][22][25][26][27][28][29] However, the steady-state process is still based on the inherent properties of the system control method (semiglobal/global control scheme); the choice of the prescribed performance functions can only be attached to the symmetric exponential functions, so the traditional prescribed performance algorithm has limitations and lacks flexibility.…”

Section: Introductionmentioning

confidence: 99%

Robust adaptive prescribed performance control for a class of nonlinear pure‐feedback systems

Jia

Wang

Zhou

2019

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

Summary An adaptive prescribed performance control design procedure for a class of nonlinear pure‐feedback systems with both unknown vector parameters and unmodeled dynamics is presented. The unmodeled dynamics lie within some bounded functions, which are assumed to be partially known. A state transformation and an auxiliary system are proposed to avoid using the cumbersome formula to handle the nonaffine structure. Simultaneously, a parameter‐type Lyapunov function and L function are designed to ensure the prescribed performance of the pure‐feedback system. As illustrated by examples, the proposed adaptive prescribed performance control scheme is shown to guarantee global uniform ultimate boundedness. At the same time, this method not only guarantees the prescribed performance of the system but also makes the tracking error asymptotically close to a certain value or stable.

show abstract

Finite‐time adaptive fuzzy command filtering control for stochastic nonlinear systems with input quantization

Kang

Liu

Wang

2021

Adaptive Control & Signal

View full text Add to dashboard Cite

This article focuses on the finite-time adaptive fuzzy control problem based on command filtering for stochastic nonlinear systems subject to input quantization. Fuzzy logic systems are employed to estimate unknown nonlinearities.In the control design, the hysteretic quantized input is decomposed into two bounded nonlinear functions, which solves the chattering problem. Meanwhile, an adaptive fuzzy controller is presented by the combination of command filter technique and backstepping control, which eliminates the computational complexity existing in traditional backstepping design. Under the proposed adaptive mechanism, all the closed-loop signals remain bounded while the desired system performance can be realized within finite time. The main significance of this work is that (1) the filtering error can be solved on the basis of the designed compensating signals;(2) the requirement of adaptive parameters is decreased to only one, which simplifies the controller design process and may improve the control performance. Two simulation examples are used to validity of the developed scheme.

show abstract

Prescribed performance adaptive fault-tolerant tracking control for nonlinear time-delay systems with input quantization and unknown control directions

Cited by 28 publications

References 33 publications

Robust adaptive fault‐tolerant quantized control of nonlinear systems with constraints on system behaviors and states

Robust adaptive fault‐tolerant quantized control of nonlinear systems with constraints on system behaviors and states

Robust adaptive prescribed performance control for a class of nonlinear pure‐feedback systems

Finite‐time adaptive fuzzy command filtering control for stochastic nonlinear systems with input quantization

Contact Info

Product

Resources

About