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Fault-tolerant control based on multi-reduced-order intermediate observers for multi-agent systems with a leader of
Xiuhua Liu1, Sheng Wang1, Jian Han1
1School of Mathematics and Statistics Science, Ludong University, Yantai 264025, China.
Abstract:
This paper investigates the fault estimation and fault-tolerant consensus tracking control of multi-agent systems (MASs) with leader of unknown input. Multi-reduced-order intermediate observers are constructed to estimate the state and unknown inputs of leader, along with the follower states, actuator and sensor faults. Compared with the existing results, the centralized and the distributed output estimation errors are added to the observers to improve the estimation performance. Utilizing estimated information, the distributed consensus protocol is constructed, which can compensate for the faults and leader's unknown input, and achieve consensus tracking of MASs. The parameter solution method is proposed, whose computational complexity is equivalent to that of a single agent. The root-mean-square (RMS) performance is introduced, which can reduce the impact of disturbances, and there is no need for the classical assumption of zero initial conditions. Finally, the feasibility of the method is verified through two examples.
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