NDLI: H∞ filtering for T–S fuzzy complex networks subject to sensor saturation via delayed information

Content Provider	IET Digital Library
Author	Sheng, Suying Zhang, Xiaomei
Abstract	This study addresses a distributed H ∞ filtering problem for discrete-time Takagi–Sugeno fuzzy complex networks with sensor saturation, where nodes and filters are connected via a shared communication network. It is supposed that each node's output measurement transmitted to its filter according to Round-Robin scheduling protocol. Based on a non-parallel distributed compensation strategy, distributed filters are constructed, where the coupling matrix between filters could be different from the one between nodes and the parameters of the filters depend on current and delayed membership functions. The augmented filtering error system is represented as a discrete-time fuzzy system with time-varying delays. By applying a novel nonquadratic Lyapunov functional that depends on current and delayed membership functions, and combined with a Abel lemma-based finite-sum inequality, distributed regional H ∞ filters are designed such that the local and exponential stability of the augmented filtering error system is ensured and the H ∞ performance requirement is satisfied. Numerical examples illustrate the effectiveness and less conservatism of the proposed method.
Starting Page	2370
Ending Page	2382
Page Count	13
ISSN	17518644
Volume Number	11
e-ISSN	17518652
Issue Number	Issue 14, Sep (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/11/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2017.0071
Journal	IET Control Theory & Applications
Publisher Date	2017-05-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Abel Lemma-based Finite-sum Inequality Asymptotic Stability Augmented Filtering Error System Combinatorial Mathematics Coupling Matrix Delay Delayed Information Delayed Membership Function Discrete Control System Discrete Time System Discrete-time Takagi–Sugeno Fuzzy Complex Networks Distributed H∞ Filtering Problem Distributed Parameter Control System Exponential Stability Fuzzy Control H∞ Filter Lyapunov Method Network Theory (Graph) Nonparallel Distributed Compensation Strategy Nonquadratic Lyapunov Functional Round-robin Scheduling Protocol Sensor Saturation Shared Communication Network Stability in Control Theory T-S Fuzzy Complex Network Time Varying Control System Time Varying System Time-varying Delay
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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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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