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A gain‐tuning method for almost disturbance decoupling problems of nonlinear systems with zero dynamics

Xiaoping Liu, Zhengqi Wang, Wilson Wang

2022International Journal of Robust and Nonlinear Control10 citationsDOI

Abstract

Abstract In this paper, a gain‐tuning method for almost disturbance decoupling problems of nonlinear systems with zero dynamics is developed. Firstly, a linear subsystem is formed by linearizing the nonlinear system. Then, a linear matrix inequality can be formed for the linear subsystem. After that, a linear state‐feedback controller can be obtained by solving the linear matrix inequality. A nonlinear state‐feedback controller can be obtained for the original nonlinear system by using backstepping design method. Another linear state‐feedback controller can be derived by linearizing the nonlinear state‐feedback controller. Finally, the backstepping gains can be solved by equating the two linear controllers. The detailed derivations of the method are provided. Some comparisons with the existing techniques are discussed. Moreover, the designed method is verified by simulations and some comparisons are made accordingly.

Topics & Concepts

Control theory (sociology)Decoupling (probability)Nonlinear systemBacksteppingController (irrigation)Linear matrix inequalityFull state feedbackLinear systemMathematicsNonlinear controlComputer scienceControl engineeringMathematical optimizationAdaptive controlControl (management)EngineeringPhysicsMathematical analysisAgronomyQuantum mechanicsBiologyArtificial intelligenceAdaptive Control of Nonlinear SystemsStability and Control of Uncertain SystemsControl and Stability of Dynamical Systems
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