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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

Asynchronous Filtering of Nonlinear Markov Jump Systems With Randomly Occurred Quantization via T–S Fuzzy Models

TL;DR: This paper focuses on the dissipativity-based asynchronous filtering problem for a class of discrete-time Takagi–Sugeno fuzzy Markov jump systems subject to randomly occurred quantization, where the relationships among optimal dissipative performance indices, delays, quantization parameter, and the degree of asynchronous jumps are given.
Journal ArticleDOI

State estimation for a class of artificial neural networks with stochastically corrupted measurements under Round-Robin protocol

TL;DR: A combination of the Lyapunov stability theory and the stochastic analysis technique is used to derive some easy-to-test conditions for the existence of the desired state estimator, which is characterized by the solution to a convex optimization problem that is solved via the semi-definite programme method.
Journal ArticleDOI

Event-triggered distributed state estimation with randomly occurring uncertainties and nonlinearities over sensor networks: A delay-fractioning approach

TL;DR: This work was supported in part by the National Natural Science Foundation of China, the China Postdoctoral Science Foundation under Grant 2014M560376, Jiangsu Planned Projects for Postdoctoral Research Funds under Grant 1402004A, and the Alexander von Humboldt Foundation of Germany.
Journal ArticleDOI

Distributed Dissipative State Estimation for Markov Jump Genetic Regulatory Networks Subject to Round-Robin Scheduling

TL;DR: The distributed dissipative state estimation issue of Markov jump genetic regulatory networks subject to round-robin scheduling is investigated and a compatible distributed estimator is designed to assure that the distributed error system is strictlyochastically dissipative.
Journal ArticleDOI

Finite‐time asynchronous ℋ∞ filtering for discrete‐time Markov jump systems over a lossy network

TL;DR: The objective is to design a filter that ensures not only the mean-square stochastic finite-time bounded but also a prescribed level of performance for the underlying error system over a lossy network.
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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