Adaptive fault compensation control for nonlinear uncertain fractional-order systems: Static and dynamic event generator approaches |
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| Authors: | Milad Shahvali Mohammad-Bagher Naghibi-Sistani Javad Askari |
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| Institution: | 1. Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad 91775-1111, Iran;2. Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran;1. School of Automation and Information Engineering, Xi’an University of Technology, China;2. Autonomous Systems and Intelligent Control International Joint Research Center, Xi’an Technological University, China;3. State Key Laboratory of Astronautic Dynamics, China;1. Defence Research and Development Laboratory, Hyderabad, India;2. Indian Institute of Technology Bombay, Mumbai, India;1. Shiraz University of Technology, Iran;2. Shenzhen University, China;1. University of the Basque Country, (UPV/EHU), Spain;2. Hakim Sabzevari University, Sabzevar, Iran;3. Faculty of Engineering of Vitoria-Gasteiz, Nieves cano, 12. 1006 Vitoria-Gasteiz, Spain;1. School of Energy and Power Engineering, Beijing University of Aeronautics and Astronautics, Beijing, 100191, China;2. School of Electrical Engineering and Automation, Anhui University, Hefei, 230601, China;1. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;2. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310027, China |
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| Abstract: | The tracking problem of the fractional-order nonlinear systems is assessed by extending new event-triggered control designs. The considered dynamics are accompanied by the uncertain strict-feedback form, unknown actuator faults and unknown disturbances. By using the neural networks and the fault compensation method, two adaptive fault compensation event-triggered schemes are designed. Unlike the available control designs, two static and dynamic event-triggered strategies are proposed for the nonlinear fractional-order systems, in a sense that the minimum/average time-interval between two successive events can be prolonged in the dynamic event-triggered approach. Besides, it is proven that the Zeno phenomenon is strictly avoided. Finally, the simulation results prove the effectiveness of the presented control methods. |
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