Adaptive decentralized fault‐tolerant tracking control for large‐scale nonlinear systems with input quantization |
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| Authors: | Cai‐Cheng Wang Guang‐Hong Yang |
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| Affiliation: | 1. College of Information Science and Engineering, Northeastern University, Shenyang 110819, China;2. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China |
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| Abstract: | In this paper, an adaptive decentralized tracking control scheme is designed for large‐scale nonlinear systems with input quantization, actuator faults, and external disturbance. The nonlinearities, time‐varying actuator faults, and disturbance are assumed to exist unknown upper and lower bounds. Then, an adaptive decentralized fault‐tolerant tracking control method is designed without using backstepping technique and neural networks. In the proposed control scheme, adaptive mechanisms are used to compensate the effects of unknown nonlinearities, input quantization, actuator faults, and disturbance. The designed adaptive control strategy can guarantee that all the signals of each subsystem are bounded and the tracking errors of all subsystems converge asymptotically to zero. Finally, simulation results are provided to illustrate the effectiveness of the designed approach. |
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| Keywords: | actuator fault adaptive tracking control decentralized control input quantization large‐scale nonlinear systems |
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