Yang Liu;Guochen Pang;Jianlong Qiu;Xiangyong Chen;Jinde Cao
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引用次数: 0
Abstract
This paper investigates the problem of fault-tolerant control for output regulation in multi-agent systems with actuator multiplicative faults. Initially, a prescribed-time observer is established for the followers to estimate the states of the leader. By incorporating a time-varying scaling function, the convergence time is predetermined, ensuring that the observer error converges to zero independently of the system parameters and initial conditions. Subsequently, a distributed adaptive fault-tolerant controller is designed based on the states of the observer and the relative information among the neighboring agents. It is verified that the designed controller can effectively compensate for actuator faults and address the cooperative output regulation fault-tolerant control problem. Finally, the effectiveness of the adaptive fault-tolerant controller is demonstrated through a simulation example.
期刊介绍:
The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that extend the classical notions of processing of signals defined over vector spaces (e.g. time and space) to processing of signals and information (data) defined over networks, potentially dynamically varying. In signal processing over networks, the topology of the network may define structural relationships in the data, or may constrain processing of the data. Topics include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks, and applications of distributed signal processing.