Adaptive Event-Triggered Control Design for Nonlinear Systems With Full State Constraints
Xin Jin, Yuan‐Xin Li, Shaocheng Tong
Abstract
This article is concerned with the adaptive event-triggered control (ETC) problem for uncertain nonlinear systems with full state constraints. By combining the asymmetric barrier Lyapunov functions with the backstepping technique, an adaptive ETC method is designed for the system under consideration. In addition, by introducing some well-defined smooth functions and the bounded estimation approach, the effects caused by the unknown virtual control coefficients and unknown nonlinear functions are counteracted. The asymptotic stability of the closed-loop system is ensured without violating the state constraints. Finally, the effectiveness of the control method is evaluated through simulations.
Topics & Concepts
BacksteppingControl theory (sociology)Nonlinear systemAdaptive controlBounded functionLyapunov functionExponential stabilityStability (learning theory)Computer scienceState (computer science)Adaptive systemStrict-feedback formControl systemControl (management)MathematicsEngineeringAlgorithmArtificial intelligenceMachine learningQuantum mechanicsMathematical analysisElectrical engineeringPhysicsAdaptive Control of Nonlinear SystemsStability and Control of Uncertain SystemsAdvanced Control Systems Optimization