Event-based multirate control of large-scale distributed nonlinear systems subject to time-driven zero order holds

作者: Zhixiong Zhong , Yanzheng Zhu , Michael V. Basin , Hak-Keung Lam

DOI: 10.1016/J.NAHS.2020.100864

关键词: Bounding overwatchMicrogridReduction (complexity)Control theoryComputer scienceTransformation (function)Nonlinear systemTransmission (telecommunications)Interval (mathematics)Fuzzy control system

摘要: Abstract The event-based output-feedback control is studied for large-scale distributed networked nonlinear systems. All subsystems are described by interval type-2 (IT2) Takagi–Sugeno (T–S) model and communicate information to each other via networks with time-varying transmission delays. sampled rates of sensors refresh actuators allowed be different among subsystems. We propose an scheme in the sense that subsystem determines its based on local output measurements. First, combined descriptor system perturbed approaches, equivalent transformation established. Then, a relaxing Lyapunov functional introduced virtue Wirtinger inequality. corresponding co-design criteria obtained form linear matrix inequalities (LMIs), which guarantee stabilization closed-loop fuzzy sampling updating while transmitting as little possible. Furthermore, employing some bounding inequality techniques, considerable reduction number LMIs can achieved. Finally, practical application DC microgrid three PV exploited.

参考文章(38)
Hongxing Li, Puyin Liu, Fuzzy Neural Network Theory and Application ,(2004)
William W. Melek, Hani Hagras, Jerry Mendel, Hao Ying, Woei-Wan Tan, Introduction to Type-2 Fuzzy Logic Control: Theory and Applications ,(2014)
Miad Moarref, Luis Rodrigues, Exponential stability and stabilization of linear multi-rate sampled-data systems american control conference. pp. 158- 163 ,(2013) , 10.1109/ACC.2013.6579830
Wei Chang, Wen-June Wang, $H_{\infty} $ Fuzzy Control Synthesis for a Large-Scale System With a Reduced Number of LMIs IEEE Transactions on Fuzzy Systems. ,vol. 23, pp. 1197- 1210 ,(2015) , 10.1109/TFUZZ.2014.2347995
Qing Lu, Peng Shi, Hak-Keung Lam, Yuxin Zhao, Interval Type-2 Fuzzy Model Predictive Control of Nonlinear Networked Control Systems IEEE Transactions on Fuzzy Systems. ,vol. 23, pp. 2317- 2328 ,(2015) , 10.1109/TFUZZ.2015.2417975
Jerry M. Mendel, Xinwang Liu, Simplified Interval Type-2 Fuzzy Logic Systems IEEE Transactions on Fuzzy Systems. ,vol. 21, pp. 1056- 1069 ,(2013) , 10.1109/TFUZZ.2013.2241771
Abbas Khosravi, Saeid Nahavandi, Doug Creighton, Dipti Srinivasan, Interval Type-2 Fuzzy Logic Systems for Load Forecasting: A Comparative Study IEEE Transactions on Power Systems. ,vol. 27, pp. 1274- 1282 ,(2012) , 10.1109/TPWRS.2011.2181981
Chung-Shi Tseng, Bor-Sen Chen, H/spl infin/ decentralized fuzzy model reference tracking control design for nonlinear interconnected systems IEEE Transactions on Fuzzy Systems. ,vol. 9, pp. 795- 809 ,(2001) , 10.1109/91.971729