Litcius/Paper detail

Event-Based Design of Finite-Time Adaptive Control of Uncertain Nonlinear Systems

Yuan-Xin Li, Zhongsheng Hou, Wei‐Wei Che, Zheng‐Guang Wu

2021IEEE Transactions on Neural Networks and Learning Systems74 citationsDOI

Abstract

The problem of finite-time adaptive tracking control against event-trigger error is investigated in this article for a type of uncertain nonlinear systems. By fusing the techniques of command filter backstepping technical and event-triggered control (ETC), an adaptive event-triggered design method is proposed to construct the controller, under which the effect of event-triggered error can be compensated completely. Moreover, the proposed controller can increase robustness against uncertainties and event error in the backstepping design framework. In particular, we establish the finite-time convergence condition under which the tracking error asymptotically converges to zero in finite time with the aid of a scaling function. Detailed and rigorous stability proofs are given by making use of the improved finite time stability criterion. Two simulation examples are provided to exhibit the validity of the designed adaptive ETC approach.

Topics & Concepts

BacksteppingControl theory (sociology)Robustness (evolution)Tracking errorNonlinear systemComputer scienceAdaptive controlController (irrigation)Convergence (economics)MathematicsControl (management)Artificial intelligenceBiochemistryChemistryEconomicsQuantum mechanicsPhysicsAgronomyGeneEconomic growthBiologyAdaptive Control of Nonlinear SystemsAdaptive Dynamic Programming ControlAdvanced Control Systems Optimization