Abstract
We propose a novel fault-tolerant cooperative control strategy for multiagent systems. A set of unknown input observers for each agent are constructed for fault detection. Then a real-time adaptive extremum seeking algorithm is utilized for adaptive approximation of fault parameter. We prove that the consensus can be still reached by regulating the interconnection weights and changing the connection topology of the fault agent. A numerical simulation example is given to illustrate the feasibility and effectiveness of the proposed method.
Highlights
Recent years have seen a growing interest in the cooperative control of multiagent systems [1, 2]
We propose a novel fault-tolerant cooperative control strategy for multiagent systems
Cooperative multiagent system refers to the concept that multiple agents work together to complete a task or achieve a target state according to the cooperative control law [3]
Summary
Recent years have seen a growing interest in the cooperative control of multiagent systems [1, 2]. Fault-tolerant control is divided into two steps, namely, fault parameter approximation and adjusting some interconnection weights. Yang et al proposed a cooperative protocol to adjust fault parameters for a target aggregation problem of nonlinear multiagent systems [5]. In these studies, the cooperative faulttolerant control was used to adjust interconnection weights without isolating out the faulty agent, which leads to a lot of calculation when faulty agent has a number of neighbors.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
