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Adaptive asymptotic tracking control of uncertain fractional-order nonlinear systems with unknown quantized input and control directions subject to actuator failures
Sabeti, F ; Sharif University of Technology | 2022
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- Type of Document: Article
- DOI: 10.1177/10775463211017718
- Publisher: SAGE Publications Inc , 2022
- Abstract:
- This article addresses an adaptive backstepping control design for uncertain fractional-order nonlinear systems in the strict-feedback form subject to unknown input quantization, unknown state-dependent control directions, and unknown actuator failure. The system order can be commensurate or noncommensurate. The total number of failures is allowed to be infinite. The Nussbaum function is used to deal with the problem of unknown control directions. Compared with the existing results, the control gains can be functions of states and the knowledge of quantization parameters and characteristics of the actuator failure are unknown. By applying the backstepping control approach based on the frequency-distributed model, it is proved that all the closed-loop signals remain bounded and the output tracking error converges to the origin asymptotically. Finally, the effectiveness of the proposed controller is demonstrated by two simulation examples. © The Author(s) 2021
- Keywords:
- Actuator failures ; Adaptive control ; Fractional-order systems ; Input quantization ; Unknown control direction ; Actuators ; Backstepping ; Adaptive backstepping control ; Asymptotic tracking control ; Back-stepping controls ; Closed-loop signals ; Distributed modeling ; Fractional-order nonlinear systems ; Quantization parameters ; Unknown control direction ; Adaptive control systems
- Source: JVC/Journal of Vibration and Control ; Volume 28, Issue 19-20 , 2022 , Pages 2625-2641 ; 10775463 (ISSN)
- URL: https://journals.sagepub.com/doi/abs/10.1177/10775463211017718