Title
Fuzzy-Model-Based Adaptive Control For A Kind Of Discrete-Time Systems With Time-Delay And Disturbances
Abstract
This paper presents the stability analysis of discrete-time fuzzy-model-based adaptive control systems with time-delay, parameter uncertainties and external disturbance. To facilitate the stability analysis, the T-S fuzzy model is employed to represent the discrete-time nonlinear system. A fuzzy observer is used to estimate the state of the fuzzy system, by using the estimations of states and nonlinear functions, and sufficient conditions for designing observer-based fuzzy controllers are proposed. The control and observer matrices involved can be determined by solving a set of linear matrix inequality (LMI). Finally, the numerical example carried out also demonstrate the feasibility of the design method.
Year
DOI
Venue
2014
10.1142/S0218488514500226
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
Keywords
Field
DocType
Discrete-time, time-delay, disturbances, stability, observer, fuzzy system
State observer,Mathematical optimization,Control theory,Fuzzy logic,Adaptive control,Adaptive neuro fuzzy inference system,Fuzzy control system,Discrete time and continuous time,Observer (quantum physics),Linear matrix inequality,Mathematics
Journal
Volume
Issue
ISSN
22
3
0218-4885
Citations 
PageRank 
References 
0
0.34
14
Authors
2
Name
Order
Citations
PageRank
Yi-Min Li100.34
Hao Li22511.35