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Dissipativity-based finite-time asynchronous output feedback control for wind turbine system via a hidden Markov model

Peng Cheng, Hai Wang, Vladimir Stojanović, Fei Liu, Shuping He, Kaibo Shi

2022International Journal of Systems Science101 citationsDOI

Abstract

This paper concerns the issue of finite-time dissipative asynchronous output feedback control for a wind turbine system that can be modelled as Markov jump Lur'e systems. Due to quantisation, time delays and ubiquitous data dropouts, the actual controller modes in practical application cannot always operate synchronously with the plant modes. To conquer this difficulty, a hidden Markov model is employed to provide some estimated modes information for controlling. In addition, by the Lyapunov function approach and linear matrix inequality technology, sufficient conditions are developed to guarantee finite-time boundedness of the continuous-time closed-loop system subject to strictly (U,G,V)-α-dissipative performance. Finally, a simulation example of a wind turbine system is given to verify the correctness and applicability of the proposed controller.

Topics & Concepts

Control theory (sociology)Controller (irrigation)Dissipative systemAsynchronous communicationLyapunov functionTurbineComputer scienceCorrectnessHidden Markov modelControl engineeringControl (management)EngineeringAlgorithmNonlinear systemAgronomyComputer networkMechanical engineeringBiologyQuantum mechanicsArtificial intelligenceSpeech recognitionPhysicsStability and Control of Uncertain SystemsControl Systems and IdentificationWind Turbine Control Systems
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