Adaptive dynamic programming method-based synchronisation control of a class of complex dynamical networks with unknown dynamics and actuator faults

This study is concerned with the adaptive fault-tolerant synchronisation control problem for a class of complex dynamic networks with unknown internal dynamics and actuator faults. A controller which consists of adaptive fault-tolerant control laws and a static feedback gain is designed to achieve t...

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Bibliographic Details
Published in:IET control theory & applications Vol. 12; no. 2; pp. 291 - 298
Main Authors: Xiao, Xiang, Li, Xiao-Jian
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 30.01.2018
Subjects:
actuator fault compensation
actuator faults
adaptive control
adaptive dynamic programming method‐based synchronisation control
adaptive fault‐tolerant control laws
adaptive fault‐tolerant synchronisation control problem
asymptotic convergence
compensation
complex dynamical networks
complex networks
control system synthesis
convergence of numerical methods
dynamic programming
fault tolerant control
feedback
graph theory
iterative methods
Lyapunov methods
Lyapunov theory
modified iterative algorithm
Research Article
static feedback gain
synchronisation
synchronisation errors
unknown internal dynamics
iterative methods
actuator faults
graph theory
modified iterative algorithm
dynamic programming
adaptive control
control system synthesis
adaptive fault-tolerant control laws
convergence of numerical methods
Lyapunov theory
complex networks
adaptive dynamic programming method-based synchronisation control
synchronisation errors
synchronisation
feedback
static feedback gain
asymptotic convergence
actuator fault compensation
compensation
unknown internal dynamics
complex dynamical networks
adaptive fault-tolerant synchronisation control problem
fault tolerant control
Lyapunov methods
ISSN:1751-8644, 1751-8652
Online Access:Get full text
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Description
Summary:This study is concerned with the adaptive fault-tolerant synchronisation control problem for a class of complex dynamic networks with unknown internal dynamics and actuator faults. A controller which consists of adaptive fault-tolerant control laws and a static feedback gain is designed to achieve the synchronisation. A modified iterative algorithm via adaptive dynamic programming technique is developed to compute the static feedback gain, and based on which adaptive fault-tolerant control laws are then designed, without requiring the a priori knowledge of the system matrices, to compensate the actuator faults. Furthermore, the asymptotic convergence of synchronisation errors is rigidly analysed by combining graph theory and Lyapunov theory, and all the other signals in synchronised error system are also proved to be bounded. Finally, a simulation example is illustrated to demonstrate the effectiveness of the proposed method.
ISSN:1751-8644
1751-8652
DOI:10.1049/iet-cta.2017.0845