Fuzzy constrained MPC output feedback controller design for nonlinear systems based on parameter-dependent Lyapunov function approach

Author

Hui-Wei Liu ; Ke-Zhen Han ; Xiao-Heng Chang

Author_Institution

Coll. of Eng., Bohai Univ., Jinzhou, China

fYear

2013

fDate

25-27 May 2013

Firstpage

1403

Lastpage

1406

Abstract

The fuzzy constrained MPC output feedback control problem for a class of discrete-time T-S fuzzy systems is studied in this paper. Generally, based on the parameter dependent Lyapunov function approach, the controller design conditions are given in the form of LMIs via using parallel distribution compensation (PDC) techniques. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed approach.

Keywords

Lyapunov methods; compensation; control system synthesis; discrete time systems; feedback; fuzzy control; linear matrix inequalities; nonlinear control systems; predictive control; LMI; PDC technology; discrete-time T-S fuzzy systems; fuzzy constrained MPC output feedback controller design; model predictive control method; nonlinear systems; parallel distribution compensation techniques; parameter-dependent lyapunov function approach; Lyapunov methods; Nonlinear systems; Numerical stability; Output feedback; Predictive control; Stability analysis; Discrete-time T-S fuzzy systems; MPC; PDC technology; parameter-dependent Lyapunov function; static output feedback control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561145

Filename

6561145