Decentralized adaptive fuzzy tracking control for a class of uncertain large-scale systems with actuator nonlinearities

Li-Bing Wu, Heng Wang, Xi-Qin He and Da-Qing Zhang

Applied Mathematics and Computation, 2018, vol. 332, issue C, 390-405

Abstract: This paper studies the problem of decentralized adaptive tracking control for a class of nonlinear large-scale systems with unmeasurable states and actuator nonlinearities. For each subsystem, a novel decentralized disturbance rejection filter is designed to estimate both system states and external disturbances. The decentralized controller with adaptive laws is designed based on back-stepping techniques. It is proved that all the signals of the resulting closed-loop system are bounded, and the output tracking errors of subsystems converge to a desired neighborhood of origin. Simulation results illustrate the effectiveness of the method proposed in this paper.

Keywords: Decentralized adaptive control; Hysteresis nonlinearity; Disturbance rejection filter; Back-stepping method (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:332:y:2018:i:c:p:390-405

DOI: 10.1016/j.amc.2018.03.080

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