Brief paper: H∞ filtering with randomly occurring sensor saturations and missing measurements
Zidong Wang,Bo Shen,Xiaohui Liu +2 more
TLDR
The H"~ filtering problem is investigated for a class of nonlinear systems with randomly occurring incomplete information, namely, randomly occurring sensor saturation, and the regional l"2 gain filtering feature is specifically developed for the random saturation nonlinearity.About:
This article is published in Automatica.The article was published on 2012-03-01 and is currently open access. It has received 256 citations till now. The article focuses on the topics: Filtering problem & Filter (signal processing).read more
Citations
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Journal ArticleDOI
Asynchronous l 2 - l ∞ filtering for discrete-time stochastic Markov jump systems with randomly occurred sensor nonlinearities
TL;DR: The existence criterion of the desired asynchronous filter with piecewise homogeneous Markov chain is proposed in terms of a set of linear matrix inequalities and a numerical example is given to show the effectiveness and potential of the developed theoretical results.
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Distributed H ∞ Filtering for a Class of Markovian Jump Nonlinear Time-Delay Systems Over Lossy Sensor Networks
TL;DR: 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.
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Quantised recursive filtering for a class of nonlinear systems with multiplicative noises and missing measurements
TL;DR: This article is concerned with the recursive finite-horizon filtering problem for a class of nonlinear time-varying systems subject to multiplicative noises, missing measurements and quantisation effects, and the design of a recursive filter such that an upper bound for the filtering error covariance is guaranteed and such anupper bound is subsequently minimised by properly designing the filter parameters at each sampling instant.
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Distributed Synchronization in Networks of Agent Systems With Nonlinearities and Random Switchings
TL;DR: It is found that the coupling strength, the probabilities of the Bernoulli stochastic variables, and the form of nonlinearities have great impacts on the convergence speed and the terminal control strength.
Fault tolerant control for singular systems with actuator saturation and nonlinear perturbationFault tolerant control for singular systems with actuator saturation and nonlinear perturbation.
Z. Zuo,D.W.C. Ho,Y. Wang +2 more
TL;DR: In this paper, a sufficient condition for the existence of a fixed-gain controller is first proposed which guarantees the regularity, impulse-free and stability of the closed-loop system under all possible faults.
References
More filters
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Diffusion Strategies for Distributed Kalman Filtering and Smoothing
TL;DR: This work studies the problem of distributed Kalman filtering and smoothing, and proposes diffusion algorithms to solve each one of these problems, and compares the simulation results with the theoretical expressions, and notes that the proposed approach outperforms existing techniques.
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${\cal H}_{\infty}$ 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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Robust Kalman filtering for uncertain discrete-time systems
TL;DR: This paper is concerned with the problem of a Kalman filter design for uncertain discrete-time systems such that the variance of the filtering error is guaranteed to be within a certain bound for all admissible uncertainties.
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Analysis and design for discrete-time linear systems subject to actuator saturation☆
TL;DR: A simple condition is derived in terms of an auxiliary feedback matrix for determining if a given ellipsoid is contractively invariant, and the set invariance condition is extended to determine invariant sets for systems with persistent disturbances.
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Distributed Consensus Algorithms in Sensor Networks: Quantized Data and Random Link Failures
Soummya Kar,Jose M. F. Moura +1 more
TL;DR: In this article, the authors studied the problem of distributed average consensus in sensor networks with quantized data and random link failures. But their work was restricted to the case where the quantizer range is unbounded.