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.read more
Citations
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Proceedings ArticleDOI
Sampled-data stabilization for a class of stochastic nonlinear systems with Markovian switching based on the approximate discrete-time models *
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Journal ArticleDOI
Event-triggered H ∞ filtering for singularly perturbed systems with external disturbance
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Journal ArticleDOI
Incremental dissipative control for nonlinear stochastic Markovian jump systems
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Journal ArticleDOI
Adaptive event-triggered finite-time H∞ control for fuzzy semi-Markovian jump systems with immeasurable premise variables
TL;DR: In this article , an adaptive event-triggered finite-time H∞ control problem of Takagi-Sugeno fuzzy semi-Markovian jump systems with immeasurable premise variables is addressed.
Journal ArticleDOI
Stabilization of Networked Distributed Systems with Partial and Event-Based Couplings
Sufang Zhang,Wei Wang,Chi Huang +2 more
TL;DR: The stabilization problem of networked distributed systems with partial and event-based couplings is investigated and the sufficient conditions in terms of linear matrix equalities are proposed to ensure the stabilization of the controlled system.
References
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Journal ArticleDOI
The sector bound approach to quantized feedback control
Minyue Fu,Lihua Xie +1 more
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,Lihua Xie +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
Huijun Gao,Tongwen Chen +1 more
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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