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...