Event-Based Adaptive Fuzzy Asymptotic Tracking Control of Uncertain Nonlinear Systems
Yuan-Xin Li, Xiaoyan Hu, Wei‐Wei Che, Zhongsheng Hou
Abstract
This article proposed a novel adaptive ETC framework for asymptotic tracking of uncertain nonlinear systems in the presence of unknown virtual control coefficients (UVCC). More precisely, by introducing some well-defined smooth functions and the bounded estimation approach, the effects caused by the unknown UVCC and uncertainties are counteracted. Moreover, a novel Lyapunov function is constructed such that the asymptotical convergence to zero of the tracking error and boundedness of the closed-loop system are successfully achieved. Effectiveness of the proposed strategies is shown by using a simulation example.
Topics & Concepts
Control theory (sociology)Bounded functionNonlinear systemAdaptive controlLyapunov functionMathematicsConvergence (economics)Tracking errorTracking (education)Uniform boundednessFuzzy control systemExponential stabilityFuzzy logicAdaptive systemComputer scienceMathematical optimizationControl (management)Artificial intelligenceMathematical analysisPedagogyEconomic growthQuantum mechanicsEconomicsPsychologyPhysicsAdaptive Control of Nonlinear SystemsStability and Control of Uncertain SystemsAdvanced Control Systems Optimization