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Predefined-time event-triggered adaptive tracking control for strict-feedback nonlinear systems with full-state constraints

Xiangjun WuCollege of Control Science and Engineering, Bohai University, Jinzhou, Liaoning, People's Republic of ChinaShuo DingCollege of Control Science and Engineering, Bohai University, Jinzhou, Liaoning, People's Republic of ChinaBen NiuSchool of Information Science and Engineering, Shandong Normal University, Jinan, People's Republic of ChinaNing XuCollege of Information Science and Technology, Bohai University, Jinzhou, Liaoning, People's Republic of ChinaXudong ZhaoFaculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, People's Republic of China
2023en
ABI

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This paper investigates the problem of predefined-time event-triggered adaptive tracking control for strict-feedback nonlinear systems (SFNSs) with full-state constraints. To handle asymmetric full-state constraints, a nonlinear state-dependent function (NSDF) that purely depends on the constraint state is introduced. Then, a switching threshold event-triggered mechanism (ETM) is designed to enhance usage efficiency of communication resources. Moreover, a predefined-time event-triggered adaptive tracking controller is constructed by incorporating a smooth tuning function into each step of the backstepping design based on dynamic surface technology. Under such a control scheme, the output tracking error can be steered to the small neighborhood of the origin within the user setting time. Compared to various previous control schemes developed for full-state constrained systems, our proposed method can circumvent the demanding feasibility conditions in controller designs. Finally, a simulation result is given to illustrate the effectiveness of the control scheme.

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