Observer-based adaptive consensus tracking control for nonlinear multi-agent systems with actuator hysteresis

Wang, Junwei; Chen, Kairui; Liu, Qiuli; Ma, Qingwei

doi:10.1007/s11071-018-4684-1

Cited by 18 publications

(11 citation statements)

References 44 publications

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“…Let k � 44.5, the corresponding delay bound can be calculated by (20). Figures 2 and 3 show the trajectories and the observer errors of the distributed observers with a time-varying communication delay d(t) � 0.1 sin (t) 2 . According to the results, we can find that all observers follow the states of the linear plant with very small errors.…”

Section: Numerical Examplementioning

confidence: 99%

“…In many control strategies (e.g., state feedback control, process monitoring, and fault detection), we need to have the state variables to construct the controller. In practice, it would be hard to directly obtain all states of an actual system because of technical limitations or perhaps immense cost by using complex sensors [1,2]. erefore, there is an urgent necessity to achieve an accurate estimation of the unmeasurable state variables.…”

Section: Introductionmentioning

confidence: 99%

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Distributed Observer Design for Linear Systems under Time-Varying Communication Delay

et al. 2021

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The paper investigates the state estimation problem of general continuous-time linear systems with the consideration of time-varying communication delay. A solution is proposed in terms of the networked distributed observer, which consists of multiple local observers. Each local observer relies on only part of the system output and exchanges information with neighbors through undirected links modeled by a prespecified communication graph. A simple approach for computing observer parameters is presented by solving a parametric algebraic Riccati equation. Furthermore, by the Lyapunov–Krasovskii stability theorem, an upper bound of the delay could be calculated explicitly and together with the conditions of joint observability and connectivity of the communication graph; the resulting distributed observers work coordinately to achieve an asymptotic estimate of the full plant state. An illustrative example is provided to confirm the analytical results.

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Section: Numerical Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distributed Observer Design for Linear Systems under Time-Varying Communication Delay

et al. 2021

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“…In [31], a novel hysteresis compensation method based on extended high-gain observer was presented without any specific hysteresis models. Besides, there exist several seminal observers designed with a system of hysteresis results [30,[32][33][34]. Huo et al proposed an MIMO switched fuzzy observer to estimate the system states with hysteresis nonlinearities, which was less conservative than using a common observer for all subsystems.…”

Section: Introductionmentioning

confidence: 99%

“…Huo et al proposed an MIMO switched fuzzy observer to estimate the system states with hysteresis nonlinearities, which was less conservative than using a common observer for all subsystems. As stated in [33], they addressed the consensus tracking problem of a class of nonlinear multiagent system with hysteresis. And then, they developed a distributed adaptive neural output feedback control scheme proposed by constructing a state observer and using the backstepping technique.…”

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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Observer‐based consensus tracking control for a class of nonstrict‐feedback nonlinear multi‐agent systems with prescribed performance and input quantization

Shi

Zhou

Guo

2022

Intl J Robust & Nonlinear

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This article investigates the consensus tracking problem with predefined transient and steady performance requirements for a class of nonstrict-feedback nonlinear multi-agent systems (MASs) with input quantization under a directed graph. Based on prescribed performance error transformation methods and command filtered backstepping techniques, a novel observer-based adaptive control protocol is proposed, where neural observers are designed to estimate unmeasurable states and radial basis function neural networks are constructed to compensate command filter errors. The proposed protocol can be applied to a more general class of nonlinear MASs with nonstrict-feedback nonlinear dynamics and unmeasurable states information. It is strictly proved that all signals in the whole MAS are semi-globally uniformly ultimately bounded and both the transient and steady performances of the consensus tracking errors satisfy prescribed performance requirements. Finally, three numerical examples are presented to validate the effectiveness of the proposed protocol.

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Observer-based adaptive consensus tracking control for nonlinear multi-agent systems with actuator hysteresis

Cited by 18 publications

References 44 publications

Distributed Observer Design for Linear Systems under Time-Varying Communication Delay

Distributed Observer Design for Linear Systems under Time-Varying Communication Delay

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

Observer‐based consensus tracking control for a class of nonstrict‐feedback nonlinear multi‐agent systems with prescribed performance and input quantization

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