Switching Fuzzy Guaranteed Cost Control for Nonlinear Networked Control Systems | Zendy

Linqin Cai | Zendy; Zhuo Yang | Zendy; Jimin Yu | Zendy; Zhenhua Zhang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Switching Fuzzy Guaranteed Cost Control for Nonlinear Networked Control Systems

Author(s) -

Linqin Cai,

Zhuo Yang,

Jimin Yu,

Zhenhua Zhang

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/539617

Subject(s) - control theory (sociology) , nonlinear system , controller (irrigation) , fuzzy logic , exponential stability , computer science , state (computer science) , control (management) , networked control system , fuzzy control system , cost control , quality of service , class (philosophy) , stability (learning theory) , control engineering , engineering , computer network , operations management , physics , algorithm , quantum mechanics , artificial intelligence , machine learning , agronomy , biology

This paper deals with the problem of guaranteed cost control for a class of nonlinear networked control systems (NCSs) with time-varying delay. A guaranteed cost controller design method is proposed to achieve the desired control performance based on the switched T-S fuzzy model. The switching mechanism is introduced to handle the uncertainties of NCSs. Based on Lyapunov functional approach, some sufficient conditions for the existence of state feedback robust guaranteed cost controller are presented. Simulation results show that the proposed method is effective to guarantee system’s global asymptotic stability and quality of service (QoS)

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research