Event-Triggered Adaptive Taylor-Lagrange Control for Safety-Critical Systems
The paper proposes an adaptive Taylor-Lagrange Control (aTLC) framework for safety-critical nonlinear systems using event-triggered control. It solves the problem of fixed methods failing under constraints by dynamically selecting a discretization time scale based on the system's state. This results in a controller that guarantees safety, maintains feasibility even with tight input limits, and produces smoother control actions.