Command-Filter-Based Finite-Time Adaptive Control for Nonlinear Systems With Quantized Input
Jiali Ma, Ju H. Park, Shengyuan Xu
Abstract
This article considers the finite-time adaptive control problem of nonlinear systems with quantized input signal. Compared with existing results, the quantized parameters are unknown and the bound of the disturbance is not required. By utilizing the command filter backstepping method, an adaptive switching-type controller is designed and a novel switching mechanism is also proposed. By regulating the controller parameters online, practical finite-time stability can be guaranteed for the closed-loop system. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.
Topics & Concepts
BacksteppingControl theory (sociology)Nonlinear systemController (irrigation)Adaptive controlComputer scienceFilter (signal processing)Stability (learning theory)Control engineeringControl (management)EngineeringArtificial intelligenceQuantum mechanicsMachine learningBiologyPhysicsAgronomyComputer visionAdaptive Control of Nonlinear SystemsStability and Control of Uncertain SystemsAdvanced Control Systems Optimization