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Mixed H∞ and passive filtering for singular systems with time delays

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TLDR
The criterion is adopted to design a mixed H"~ and passive filter of the Luenberger observer type, and a design method is proposed in terms of the solution of a LMI.
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This article is published in Signal Processing.The article was published on 2013-07-01. It has received 73 citations till now. The article focuses on the topics: Filter design & Linear matrix inequality.

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Citations
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Journal ArticleDOI

Reliable mixed passive and ℋ∞ filtering for semi‐Markov jump systems with randomly occurring uncertainties and sensor failures

TL;DR: In this article, a reliable mixed passive and filtering problem for uncertain semi-Markov jump delayed systems subject to sensor failures is investigated, and sufficient conditions of mixed passivity and performance analysis for the considered systems are derived.
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Event-Triggered Generalized Dissipativity Filtering for Neural Networks With Time-Varying Delays

TL;DR: Since a generalized dissipativity performance index is introduced, several kinds of event-triggered filtering issues, such as H∞ filtering, passive filtering, mixed H ∞ and Passive filtering, (Q, S, R)-dissipative filtering, and L2-L∞ filters, are solved in a unified framework.
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Non-fragile H ∞ synchronization of memristor-based neural networks using passivity theory

TL;DR: This paper formulate and investigate the mixed H∞ and passivity based synchronization criteria for memristor-based recurrent neural networks with time-varying delays and the effectiveness of the proposed criterion is demonstrated through numerical examples.
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Reliable Mixed $H_\infty $ and Passivity-Based Control for Fuzzy Markovian Switching Systems With Probabilistic Time Delays and Actuator Failures

TL;DR: The main aim of this paper is to design a reliable mixed H∞ and passivity-based controller such that the stochastic TS fuzzy system with Markovian switching is stochastically stable with a prescribed mixed H ∞ andPassivity performance level γ > 0.
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Robust mixed H ∞ and passive filtering for networked Markov jump systems with impulses

TL;DR: Mixed H ∞ and passive filter design for Markovian jump impulsive networked control systems with norm bounded uncertainties and random packet dropouts and mode-dependent conditions are established to guarantee the filtering error system to be robustly stochastically stable and achieve a prescribed performance index.
References
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Journal ArticleDOI

Robust stability and stabilization for singular systems with state delay and parameter uncertainty

TL;DR: A strict linear matrix inequality (LMI) design approach is developed that solves the problems of robust stability and stabilization for uncertain continuous singular systems with state delay via the notions of generalized quadratic stability and generalizedquadratic stabilization.
Journal ArticleDOI

Stochastic Synchronization of Markovian Jump Neural Networks With Time-Varying Delay Using Sampled Data

TL;DR: Two delay-dependent criteria are derived to ensure the stochastic stability of the error systems, and thus, the master systems stochastically synchronize with the slave systems.
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Technical communique: Sliding mode control with bounded L 2 gain performance of Markovian jump singular time-delay systems

TL;DR: This paper investigates the problem of sliding mode control (SMC) of Markovian jump singular time-delay systems and proposes a delay-dependent bounded real lemma and an SMC law to improve the transient performance of the SMC system.
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A New Approach to Stability Analysis and Stabilization of Discrete-Time T-S Fuzzy Time-Varying Delay Systems

TL;DR: This paper investigates the problems of stability analysis and stabilization for a class of discrete-time Takagi-Sugeno fuzzy systems with time-varying state delay with a novel fuzzy Lyapunov-Krasovskii functional and proposes a delay partitioning method.
Journal ArticleDOI

A Novel Approach to Filter Design for T–S Fuzzy Discrete-Time Systems With Time-Varying Delay

TL;DR: Sufficient conditions for the obtained filtering error system are proposed by applying an input-output approach and a two-term approximation method, which is employed to approximate the time-varying delay.
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