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Filtering and Control for Unreliable Communication 2015

4 October 2015; Accepted 4 October 2015 Copyright © 2015 Guoliang Wei et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted ... grateful to the reviewers for their thorough and on-time reviews of the papers. Guoliang Wei Lifeng Ma Zidong Wang Derui Ding Jun Hu

A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks

Multisensor fusion and consensus filtering are two fascinating subjects in the research of sensor networks. In this survey, we will cover both classic results and recent advances developed in these two topics. First, we recall some important results in the development of multisensor fusion technology. Particularly, we pay great attention to the fusion with unknown correlations...

A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks

Multisensor fusion and consensus filtering are two fascinating subjects in the research of sensor networks. In this survey, we will cover both classic results and recent advances developed in these two topics. First, we recall some important results in the development of multisensor fusion technology. Particularly, we pay great attention to the fusion with unknown correlations...

Filtering and Control for Unreliable Communication: The Discrete-Time Case

Received 8 April 2014; Accepted 8 April 2014; Published 30 April 2014 Copyright © 2014 Guoliang Wei et al. This is an open access article distributed under the Creative Commons Attribution License, which ... reviewers for their thorough and on time reviews of the papers. Guoliang Wei Lifeng Ma Zidong Wang

Filtering and Control for Unreliable Communication: The Discrete-Time Case

Received 8 April 2014; Accepted 8 April 2014; Published 30 April 2014 Copyright © 2014 Guoliang Wei et al. This is an open access article distributed under the Creative Commons Attribution License, which ... reviewers for their thorough and on time reviews of the papers. Guoliang Wei Lifeng Ma Zidong Wang

Fuzzy-Logic-Based Control, Filtering, and Fault Detection for Networked Systems: A Survey

This paper is concerned with the overview of the recent progress in fuzzy-logic-based filtering, control, and fault detection problems. First, the network technologies are introduced, the networked control systems are categorized from the aspects of fieldbuses and industrial Ethernets, the necessity of utilizing the fuzzy logic is justified, and the network-induced phenomena are...

Fuzzy-Logic-Based Control, Filtering, and Fault Detection for Networked Systems: A Survey

This paper is concerned with the overview of the recent progress in fuzzy-logic-based filtering, control, and fault detection problems. First, the network technologies are introduced, the networked control systems are categorized from the aspects of fieldbuses and industrial Ethernets, the necessity of utilizing the fuzzy logic is justified, and the network-induced phenomena are...

A Survey on Gain-Scheduled Control and Filtering for Parameter-Varying Systems

, Nanjing 210094, China Received 4 December 2013; Accepted 28 March 2014; Published 29 April 2014 Academic Editor: Jinde Cao Copyright © 2014 Guoliang Wei et al. This is an open access article

A Survey on Gain-Scheduled Control and Filtering for Parameter-Varying Systems

, Nanjing 210094, China Received 4 December 2013; Accepted 28 March 2014; Published 29 April 2014 Academic Editor: Jinde Cao Copyright © 2014 Guoliang Wei et al. This is an open access article

Variance-Constrained Multiobjective Control and Filtering for Nonlinear Stochastic Systems: A Survey

The multiobjective control and filtering problems for nonlinear stochastic systems with variance constraints are surveyed. First, the concepts of nonlinear stochastic systems are recalled along with the introduction of some recent advances. Then, the covariance control theory, which serves as a practical method for multi-objective control design as well as a foundation for linear...

Probability-Dependent Static Output Feedback Control for Discrete-Time Nonlinear Stochastic Systems with Missing Measurements

This paper is devoted to the problems of gain-scheduled control for a class of discrete-time stochastic systems with infinite-distributed delays and missing measurements by utilizing probability-dependent Lyapunov functional. The missing-measurement phenomenon is assumed to occur in a random way, and the missing probability is time varying with securable upper and lower bounds...

Nonfragile Gain-Scheduled Control for Discrete-Time Stochastic Systems with Randomly Occurring Sensor Saturations

This paper is devoted to tackling the control problem for a class of discrete-time stochastic systems with randomly occurring sensor saturations. The considered sensor saturation phenomenon is assumed to occur in a random way based on the time-varying Bernoulli distribution with measurable probability in real time. The aim of the paper is to design a nonfragile gain-scheduled...

Nonfragile Gain-Scheduled Control for Discrete-Time Stochastic Systems with Randomly Occurring Sensor Saturations

This paper is devoted to tackling the control problem for a class of discrete-time stochastic systems with randomly occurring sensor saturations. The considered sensor saturation phenomenon is assumed to occur in a random way based on the time-varying Bernoulli distribution with measurable probability in real time. The aim of the paper is to design a nonfragile gain-scheduled...

Nonfragile Gain-Scheduled Control for Discrete-Time Stochastic Systems with Randomly Occurring Sensor Saturations

This paper is devoted to tackling the control problem for a class of discrete-time stochastic systems with randomly occurring sensor saturations. The considered sensor saturation phenomenon is assumed to occur in a random way based on the time-varying Bernoulli distribution with measurable probability in real time. The aim of the paper is to design a nonfragile gain-scheduled...

Deconvolution Filtering for Nonlinear Stochastic Systems with Randomly Occurring Sensor Delays via Probability-Dependent Method

This paper deals with a robust deconvolution filtering problem for discrete-time nonlinear stochastic systems with randomly occurring sensor delays. The delayed measurements are assumed to occur in a random way characterized by a random variable sequence following the Bernoulli distribution with time-varying probability. The purpose is to design an deconvolution filter such that...