NDLI: Decentralised H∞ fuzzy filter for non-linear large-scale systems under imperfect premise matching

Content Provider	IET Digital Library
Author	Kim, Ho Jun Park, Jin Bae Joo, Young Hoon
Abstract	This study presents a decentralised H∞ filter design problem for non-linear large-scale systems that are represented based on the Takagi–Sugeno fuzzy model. To enhance the design flexibility of the fuzzy filter for non-linear large-scale systems, the imperfect premise matching problem is adopted in the filter design procedure. In the sense of fuzzy Lyapunov, sufficient conditions for both asymptotic stability of the error system and a prescribed level of the H∞ norm are ensured to guarantee the H∞ fuzzy filter performance. The sufficient conditions are formulated in terms of linear matrix inequalities, which can be solved efficiently using convex optimisation algorithms. Finally, simulation examples are provided to verify the feasibility of the proposed approach.
Starting Page	2704
Ending Page	2714
Page Count	11
ISSN	17518644
Volume Number	9
e-ISSN	17518652
Issue Number	Issue 18, Dec (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/9/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2015.0602
Journal	IET Control Theory & Applications
Publisher Date	2015-12-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Asymptotic Stability Convex Optimisation Algorithm Decentralised Control Decentralised H∞ Filter Design Problem Decentralised H∞ Fuzzy Filter Filtering Theory Fuzzy Control Fuzzy Lyapunov H∞ Control Imperfect Premise Matching Large-scale System Linear Matrix Inequalities Lyapunov Method Multivariable Control System Nonlinear Control System Nonlinear Large-scale System Optimal Control Signal Processing Theory Stability in Control Theory Takagi-Sugeno Fuzzy Model
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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