Dynamic event-triggered adaptive control for state-constrained strict-feedback nonlinear systems with guaranteed feasibility conditions

In this paper, a new dynamic event-triggered control solution is presented for state-constrained strict-feedback nonlinear systems. The current barrier Lyapunov function is required to assume or remove the feasibility conditions for virtual control signals. In this paper, a new scheme is proposed to guarantee the designed virtual control signals satisfy feasibility conditions. By introducing a dynamic variable into the event-triggered schedule, the dynamic event-triggered control scheme is established by using backstepping iterative design procedure. Moreover, the theoretical analysis illustrates that the proposed control solution can ensure the boundedness of all signals in SNS. Finally, simulation example is given to showcase the availability of the developed method.