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Journal ArticleDOI

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

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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

Aperiodic Sampled-Data H ∞ Filtering for Lipschitz Nonlinear Systems: An Impulsive System Approach

TL;DR: In this article, the authors derived a sufficient condition for the existence of desired filter to ensure the filtering error system asymptotic stability and guarantee an optimal performance for Lipschitz nonlinear systems under aperiodically sampled measurements.
Book ChapterDOI

Consensus-Based Recursive Distributed Filtering

TL;DR: A sensor network is composed of a large number of spatially distributed sensor nodes working together to monitor targets cooperatively to provide real-time information about the environment.
Journal ArticleDOI

Distributed robust error-constrained filter for sensor networks with polytopic uncertainty and non-Gaussian noises

TL;DR: In this paper , a distributed robust error-constrained filter for time-varying uncertain systems with non-Gaussian noises over a sensor network is proposed, where a distributed filter structure is introduced at each node and a linear matrix inequality-based optimisation problem is presented to guarantee the optimal performance of filtering by minimising the upper bound of the estimation error in the presence of nonGaussian bounded noises and polytopic uncertainty.
Journal ArticleDOI

Analysis of the structured perturbation for the BSCCB linear system

TL;DR: The algorithm for the optimal backward perturbation bound of the BSCCB linear system is presented and a numerical example is provided to verify the effectiveness of the algorithm.
Journal ArticleDOI

Stability of Infinite Dimensional Interconnected Systems with Impulsive and Stochastic Disturbances

TL;DR: In this paper, the stability with mode constraint for a class of infinite dimensional look-ahead interconnected systems with impulsive and stochastic disturbances is studied by using the vector Lyapunov function approach.
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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