Dynamic Event-Triggered Adaptive Output-Feedback Control for Uncertain Switched Nonlinear Systems via a Prescribed-Time Low-Complexity Approach

Event-triggered adaptive control for nonlinear systems under asynchronous switching

Dynamic Event-Triggered Adaptive Command Filter Control for Nonlinear Systems with Full State Constraints

This paper proposes a unified adaptive control strategy for strict-feedback nonlinear systems that have full state constraints. The strategy combines command filtering with a dynamic event-triggered framework. It handles two key problems in modern control systems: the high computational cost of conventional backsteppin...

Adaptive Prescribed-Time Tracking Control for Output-Constrained Hydraulic Servo Systems with Time-Varying Parameters

This paper proposes an adaptive prescribed-time tracking control strategy based on the dynamic surface technique for hydraulic servo systems subject to time-varying parameters, external disturbances, and output constraints. First, a state-constrained transformation function is introduced to convert the strict output co...

Finite-Time Event-Triggered Optimal Tracking Control for Strict-Feedback Nonlinear Systems With Input Delay via Reinforcement Learning

An online optimization algorithm is developed to achieve practical finite-time optimal tracking, where a finite-time actor–critic law is introduced to inject the same error-dependent evaluative term into both networks, rendering the weight misalignment dynamics finite-time stable without persistence of excitation and a...

Event-Triggered Adaptive Optimal Control of Switched Nonlinear Systems With Arbitrary Assigned-Time Performance Constraints

This paper investigates the event-triggered adaptive optimal control problem for switched nonlinear systems with arbitrary assigned-time performance constraints. An identifier-critic-actor-based reinforcement learning framework approximates the solution of the Hamilton-Jacobi-Bellman equation online without requiring p...

Event-Triggered Self-Learning Parallel Tracking Control for Continuous-Time Nonlinear Systems With Actuator Faults.

This article explores an event-triggered self-learning parallel tracking control strategy for continuous-time nonlinear systems with actuator faults. To mitigate the impact of actuator faults, an enhanced performance index function is developed based on the unknown upper bound of such faults. Furthermore, an augmented...