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Adaptive Uniform Performance Control of Strict-Feedback Nonlinear Systems With Time-Varying Control Gain

Kai Zhao, Changyun Wen, Yongduan Song, Frank L. Lewis

2022IEEE/CAA Journal of Automatica Sinica56 citationsDOI

Abstract

In this paper, we present a novel adaptive performance control approach for strict-feedback nonparametric systems with unknown time-varying control coefficients, which mainly includes the following steps. Firstly, by introducing several key transformation functions and selecting the initial value of the time-varying scaling function, the symmetric prescribed performance with global and semi-global properties can be handled uniformly, without the need for control re-design. Secondly, to handle the problem of unknown time-varying control coefficient with an unknown sign, we propose an enhanced Nussbaum function (ENF) bearing some unique properties and characteristics, with which the complex stability analysis based on specific Nussbaum functions as commonly used is no longer required. Thirdly, by utilizing the core-function information technique, the non-parametric uncertainties in the system are gracefully handled so that no approximator is required. Furthermore, simulation results verify the effectiveness and benefits of the approach.

Topics & Concepts

Control theory (sociology)Parametric statisticsNonlinear systemComputer scienceKey (lock)Stability (learning theory)Transformation (genetics)Sign (mathematics)Function (biology)Adaptive controlControl (management)Sign functionScalingNonparametric statisticsMathematicsArtificial intelligenceMachine learningComputer securityGeneBiologyPhysicsMathematical analysisGeometryEvolutionary biologyQuantum mechanicsBiochemistryStatisticsChemistryAdaptive Control of Nonlinear SystemsIterative Learning Control SystemsControl Systems and Identification
Adaptive Uniform Performance Control of Strict-Feedback Nonlinear Systems With Time-Varying Control Gain | Litcius