Dynamic Constraint-Driven Event-Triggered Control of Strict-Feedback Systems Without Max/Min Values on Irregular Constraints

This work proposes an event-triggered adaptive control approach for a class of uncertain nonlinear systems under irregular constraints. Unlike the constraints considered in most existing papers, here the external irregular constraints are considered and a constraints switching mechanism (CSM) is introduced to circumvent the difficulties arising from irregular output constraints. Based on the CSM, a new class of generalized barrier functions are constructed, which allows the control results to be independent of the maximum and minimum values (MMVs) of constraints and thus extends the existing results. Finally, we proposed a novel dynamic constraint-driven event-triggered strategy (DCDETS), under which the stress on signal transmission is reduced greatly and no constraints are violated by making a dynamic trade-off among system state, external constraints, and inter-execution intervals. It is proved that the system output is driven to close to the reference trajectory and the semi-global stability is guaranteed under the proposed control scheme, regardless of the external irregular output constraints. Simulation also verifies the effectiveness and benefits of the proposed method.