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

P. Cheng; H. Wang; V. Stojanovic; F. Liu; S. He; K. Shi

doi:10.1080/00207721.2022.2076171

Back

Journal article

Peer reviewed

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

P. Cheng, H. Wang, V. Stojanovic, F. Liu, S. He and K. Shi

International Journal of Systems Science, pp.1-13

2022

DOI: https://doi.org/10.1080/00207721.2022.2076171

Files and links (1)

url

Link to Published Version *Subscription may be requiredView

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.

Details

Title: Dissipativity-based finite-time asynchronous output feedback control for wind turbine system via a hidden Markov model
Authors/Creators: P. Cheng (Author/Creator) - Anhui University
H. Wang (Author/Creator) - Murdoch University
V. Stojanovic (Author/Creator) - University of Kragujevac
F. Liu (Author/Creator) - Jiangnan University
S. He (Author/Creator) - Anhui University
K. Shi (Author/Creator) - Chengdu University
Publication Details: International Journal of Systems Science, pp.1-13
Publisher: Taylor & Francis
Identifiers: 991005543525307891
Murdoch Affiliation: School of Engineering and Energy
Language: English
Resource Type: Journal article

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Metrics

116 Record Views

90 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration; International collaboration
Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.29 Automation & Control Systems; 4.29.30 Robust Control Systems
Web Of Science research areas: Automation & Control Systems; Computer Science, Theory & Methods; Operations Research & Management Science
ESI research areas: Engineering