Output-Constrained Control of Non-affine Multi-agent Systems with Actuator Faults and Unknown Dead Zones

Li, Shubo; Pan, Yingnan; Liang, Hongjing

doi:10.1007/s00034-020-01473-z

Cited by 5 publications

(4 citation statements)

References 50 publications

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“…For switched nonaffine nonlinear systems with time delays, Wu and Park [29] proposed an adaptive FTC scheme by means of a nonlinear fault compensate function. The output-constrained consensus tracking control problem for nonaffine multi-agent systems with actuator faults was addressed in Li et al [28]. The work by Wu et al [30] presented a command filtered finite-time adaptive control strategy for nonaffine uncertain constrained nonlinear systems with actuator faults, whereas it is also noteworthy that the vast majority of practical systems inevitably suffer from cost or resource limitations in the operational environment such as finite energy sources, computational expenses, and limited communication bandwidth.…”

Section: Introductionmentioning

confidence: 99%

“…When the actuator fails, it will not only reduce the system performance but also cause the system uncontrollable. Therefore, the fault-tolerant control (FTC) strategies [27][28][29][30] for various types of nonlinear systems have attracted abundant research efforts. In Ameli and Anubi [27], a backstepping robust adaptive controller is proposed for a class of nonlinear nonaffine systems to compensate for model uncertainty, disturbance, and actuator fault.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive robust control of nonaffine nonlinear systems via an improved event‐triggered mechanism

Wan,

Pan,

et al. 2024

Asian Journal of Control

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This paper aims to address the problem of event‐based adaptive robust control for a class of nonaffine nonlinear systems against actuator faults and unknown deception attacks. Firstly, different from the widely used relative threshold triggering mechanism, an improved event‐triggered mechanism with the time‐varying function threshold is devised for effectively saving more communication costs between controller and actuator. Then, based on a class of modified filter‐based coordinate transformations and the improved event‐triggered mechanism, the intermediate virtual control laws are devised to construct actual controllers, which not only guarantees robust stabilization of the system but also relaxes the universal assumptions on control coefficients and attack weights. Besides, the design challenges resulting from the presence of coupling terms in the nonaffine nonlinear system are successfully overcome by virtue of mean value theorem and the property of fuzzy basis function. Theoretical analysis proves that all signals of the closed‐loop system are semiglobally uniformly ultimately bounded (SUUB) and the Zeno behavior can be averted. Finally, the effectiveness of the proposed strategy is verified via comprehensive simulation results.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive robust control of nonaffine nonlinear systems via an improved event‐triggered mechanism

Wan,

Pan,

et al. 2024

Asian Journal of Control

Self Cite

View full text Add to dashboard Cite

show abstract

“…For MASs with output constraints, a distributed controller related to BLF and backstepping method to prevent the output variables from violating the constraint bounds. [33][34][35][36][37] However, for the system, the problems to be considered in studying state constraints are more comprehensive and more complex than output constraints. [38][39][40][41][42] The MASs with state constraints is researched to keep all state variables within the constraints.…”

Section: Introductionmentioning

confidence: 99%

“…Among them, constructing barrier Lyapunov function (BLF) is the most effective method to prevent the violation of constraint bounds. For MASs with output constraints, a distributed controller related to BLF and backstepping method to prevent the output variables from violating the constraint bounds 33‐37 . However, for the system, the problems to be considered in studying state constraints are more comprehensive and more complex than output constraints 38‐42 .…”

Section: Introductionmentioning

confidence: 99%

Distributed adaptive NN control for nonlinear multi‐agent systems with function constraints on states

Yuan

Liu

et al. 2022

Intl J Robust & Nonlinear

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An adaptive neural network (NN) distributed tracking control strategy is proposed for nonlinear strict-feedback multi-agent systems, which is affected by time-varying full state constraints. The influence of asymmetric state constraints is also considered. The constraint bounds are related to both state vectors and time. Different from the usual constant boundary or function boundary, the constraint boundary adopted in this article not only considers the influence of state variables, but also takes time into consideration, which makes the constraint boundary more flexible and more difficult to solve. In addition, in order to solve the disturbance of the unknown function in the system, this article adopts the NN technology to realize the approximation effect of the unknown function, and designs a adaptive distributed controller based on the asymmetric obstacle Lyapunov function and backward step method, the closed-loop signals are proved to be CSUUB.

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Output Feedback Consensus of Nonlinear Multi-agent Systems Under Directed Topologies

Wang

Hou

et al. 2022

Circuits Syst Signal Process

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Output-Constrained Control of Non-affine Multi-agent Systems with Actuator Faults and Unknown Dead Zones

Cited by 5 publications

References 50 publications

Adaptive robust control of nonaffine nonlinear systems via an improved event‐triggered mechanism

Adaptive robust control of nonaffine nonlinear systems via an improved event‐triggered mechanism

Distributed adaptive NN control for nonlinear multi‐agent systems with function constraints on states

Output Feedback Consensus of Nonlinear Multi-agent Systems Under Directed Topologies

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