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Journal ArticleDOI

Distributed H ∞ Filtering for a Class of Markovian Jump Nonlinear Time-Delay Systems Over Lossy Sensor Networks

TLDR
A distributed filter design scheme is outlined by explicitly characterizing the filter gains in terms of some matrix inequalities and simulation results demonstrate the effectiveness of the proposed filtering scheme.
Abstract
This paper is concerned with the distributed H∞ filtering problem for a class of discrete-time Markovian jump nonlinear time-delay systems with deficient statistics of mode transitions. The system measurements are collected through a lossy sensor network subject to randomly occurring quantization errors and randomly occurring packet dropouts. The description of deficient statistics of mode transitions that account for known, unknown, and uncertain transition probabilities is comprehensive. A distributed filter design scheme is outlined by explicitly characterizing the filter gains in terms of some matrix inequalities. Simulation results demonstrate the effectiveness of the proposed filtering scheme.

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Citations
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Journal ArticleDOI

Partial-Nodes-Based Scalable H ∞ -Consensus Filtering With Censored Measurements Over Sensor Networks

TL;DR: By utilizing the vector dissipativity theory and the recursive matrix inequality technique, sufficient conditions are established under which the prescribed consensus performance index is achieved and the parameters of the desired distributed filters are calculated via solving certain matrix inequalities.
Journal ArticleDOI

Improved H∞ state-feedback control for continuous-time Markovian jump fuzzy systems with incomplete knowledge of transition probabilities☆

TL;DR: All possible slack variables are used into the relaxation process which contributes to reduce the conservatism in the improved H ∞ state-feedback control for Markovian jump fuzzy systems with incomplete knowledge of transition probabilities.
Journal ArticleDOI

Distributed fault estimation with randomly occurring uncertainties over sensor networks

TL;DR: Intensive stochastic analysis is carried out to obtain sufficient conditions for ensuring the exponential stability as well as prescribed performance for the overall estimation error dynamics.
Journal ArticleDOI

Discrete-time filtering for nonlinear polynomial systems

TL;DR: This paper presents a suboptimal filtering problem solution for a class of discrete-time nonlinear polynomial systems over linear observations by splitting the whole problem into finding a-priori and a-posteriori equations for state estimates and gain matrices.
Journal ArticleDOI

Network-based event-triggered H∞ filtering for discrete-time singular Markovian jump systems

TL;DR: A network-based singular Markovian jump system with time-delay is established based on the proposed event-triggered scheme based on new criteria derived which guarantee the filtering error system to be regular, causal, stochastically stable with a certain H∞ performance index.
References
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Journal ArticleDOI

The sector bound approach to quantized feedback control

TL;DR: The coarsest quantization densities for stabilization for multiple-input-multiple-output systems in both state feedback and output feedback cases are derived and conditions for quantized feedback control for quadratic cost and H/sub /spl infin// performances are derived.

The sector bound approach to quantized feedback control | NOVA. The University of Newcastle's Digital Repository

Minyue Fu, +1 more
TL;DR: In this paper, a number of quantized feedback design problems for linear systems were studied and the authors showed that the classical sector bound approach is non-conservative for studying these design problems.
Journal ArticleDOI

Opportunities and Challenges of Wireless Sensor Networks in Smart Grid

TL;DR: A comprehensive experimental study on the statistical characterization of the wireless channel in different electric-power-system environments, including a 500-kV substation, an industrial power control room, and an underground network transformer vault is presented.
Journal ArticleDOI

A new delay system approach to network-based control

TL;DR: A sampled-data networked control system with simultaneous consideration of network induced delays, data packet dropouts and measurement quantization is modeled as a nonlinear time-delay system with two successive delay components in the state and the problem of network-based H"~ control is solved accordingly.
Journal ArticleDOI

${\cal H}_{\infty}$ Estimation for Uncertain Systems With Limited Communication Capacity

TL;DR: This paper proposes a parameter-dependent filter design procedure, which is much less conservative than the quadratic approach and provides alternatives for designing robust Hinfin filters with different degrees of conservativeness and computational complexity.
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