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

Abstract

AbstractThis 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.Keywords: Event-triggered controlfull-state constraintsfeasibility conditionstime-varying tuning function AcknowledgmentsThe authors gratefully acknowledge anonymous editors and reviewers.Data availability statementDue to the nature of this research, participants of this study did not agree for their data to be shared publicly, so supporting data is not available.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was partially supported by the National Natural Science Foundation of China [grant number 62203064].