Discrete Dynamics in Nature and Society

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


Publishing date
07 Feb 2014
Status
Published
Submission deadline
20 Sep 2013

Lead Editor
Guest Editors

1School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Road, Shanghai 200093, China

2School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China

3School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge UB8 3PH, UK


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

Description

In the past decades, communication networks have been extensively employed in many practical control systems, such as manufacturing plants, aircraft, and spacecraft, to transmit information and control signals between the system components. When a control loop is closed via a serial communication channel, a networked control system (NCS) is formed. NCSs have become very popular for their great advantages over traditional systems (e.g., low cost, reduced weight, power requirements, etc.). Generally, it has been implicitly assumed that the communication between the system components is perfect; that is, the signals transmitted from the plant always arrive at the filter or controller without any information loss. Unfortunately, such an assumption is not always true. For example, a common feature of the NCSs is the presence of significant network-induced delays and data losses across the networks. Therefore, an emerging research topic that has recently drawn much attention is how to cope with the effect of network-induced phenomena due to the unreliability of the network communication.

With the wide application of computer science since the 1960s, the theory and practice of the discrete-time system have entered a new stage, and the progress of the study on the large-scale integrated circuit makes the discrete-time system easily realized. The discrete-time system has a lot of advantages, such as small volume, low cost, easy implementation, and better reliability. Because of the extensive use of computers and digital communication networks, the discrete-time dynamic system has been widely applied in the communications, remote sensing, and so on. Therefore, in the past few years, there has been a growing research interest in the filtering and control issues for discrete-time systems with unreliable communication. Many methods for filtering and control have been proposed, and a lot of uncertain factors (e.g., random packet dropouts) have been discussed.

We invite authors to contribute with high-quality original research as well as review articles that will bring together the latest approaches to understand, filter, and control discrete-time systems under unreliable communication. Potential topics include, but are not limited to:

  • Multiobjective filtering or control
  • Network-induced phenomena
  • Stability analysis
  • Robustness and fragility
  • Applications in real-world discrete-time systems

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/ddns/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/ddns/cun/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 890275
  • - Editorial

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

Guoliang Wei | Lifeng Ma | Zidong Wang
  • Special Issue
  • - Volume 2014
  • - Article ID 105815
  • - Review Article

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

Guoliang Wei | Zidong Wang | ... | Lifeng Ma
  • Special Issue
  • - Volume 2014
  • - Article ID 478985
  • - Research Article

Research on Dynamic Integrity Measurement Model Based on Memory Paging Mechanism

Chaowen Chang | Xin Chen | ... | Qinghai Xiao
  • Special Issue
  • - Volume 2014
  • - Article ID 957439
  • - Research Article

Distributed Asynchronous Fusion Algorithm for Sensor Networks with Packet Losses

Tianpeng Chu | Guoqing Qi | ... | Andong Sheng
  • Special Issue
  • - Volume 2014
  • - Article ID 904717
  • - Research Article

Fairness Analysis for Multiparty Nonrepudiation Protocols Based on Improved Strand Space

Lei Li | Licheng Wang | ... | Zhihong Zhang
  • Special Issue
  • - Volume 2013
  • - Article ID 793514
  • - Research Article

Research on the Architecture of a Basic Reconfigurable Information Communication Network

Ruimin Wang | Lei Zhuang | ... | Hongchang Chen
  • Special Issue
  • - Volume 2013
  • - Article ID 610169
  • - Research Article

Event-Based Control for Average Consensus of Wireless Sensor Networks with Stochastic Communication Noises

Chuan Ji | Wuneng Zhou | Huashan Liu
  • Special Issue
  • - Volume 2013
  • - Article ID 716915
  • - Research Article

Adaptive Kalman Estimation in Target Tracking Mixed with Random One-Step Delays, Stochastic-Bias Measurements, and Missing Measurements

Sujuan Chen | Yinya Li | ... | Andong Sheng
  • Special Issue
  • - Volume 2013
  • - Article ID 686845
  • - Research Article

A Heuristic Algorithm for Solving Triangle Packing Problem

Ruimin Wang | Yuqiang Luo | ... | Xiaozhuo Qi
  • Special Issue
  • - Volume 2013
  • - Article ID 325752
  • - Research Article

Global Exponential Stability of Discrete-Time Neural Networks with Time-Varying Delays

S. Udpin | P. Niamsup
Discrete Dynamics in Nature and Society
 Journal metrics
Acceptance rate24%
Submission to final decision58 days
Acceptance to publication84 days
CiteScore0.990
Impact Factor0.973
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