Asynchronous State Estimation for Discrete-Time Switched Complex Networks With Communication Constraints

This paper is concerned with the asynchronous state estimation for a class of discrete-time switched complex networks with communication constraints. An asynchronous estimator is designed to overcome the difficulty that each node cannot access to the topology/coupling information. Also, the event-ba...

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Vydáno v:	IEEE transaction on neural networks and learning systems Ročník 29; číslo 5; s. 1732 - 1746
Hlavní autoři:	Zhang, Dan, Wang, Qing-Guo, Srinivasan, Dipti, Li, Hongyi, Yu, Li
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.05.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Asynchronous switching Communication Communications systems Complex networks Convexity Error detection event-based communication Optimization random packet dropouts signal quantization State estimation Stochasticity switched complex networks Switches Switching theory Symmetric matrices Synchronization System theory Systems analysis Systems theory Topology
ISSN:	2162-237X, 2162-2388, 2162-2388
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Abstract	This paper is concerned with the asynchronous state estimation for a class of discrete-time switched complex networks with communication constraints. An asynchronous estimator is designed to overcome the difficulty that each node cannot access to the topology/coupling information. Also, the event-based communication, signal quantization, and the random packet dropout problems are studied due to the limited communication resource. With the help of switched system theory and by resorting to some stochastic system analysis method, a sufficient condition is proposed to guarantee the exponential stability of estimation error system in the mean-square sense and a prescribed <inline-formula> <tex-math notation="LaTeX">H_{\infty } </tex-math></inline-formula> performance level is also ensured. The characterization of the desired estimator gains is derived in terms of the solution to a convex optimization problem. Finally, the effectiveness of the proposed design approach is demonstrated by a simulation example.
AbstractList	This paper is concerned with the asynchronous state estimation for a class of discrete-time switched complex networks with communication constraints. An asynchronous estimator is designed to overcome the difficulty that each node cannot access to the topology/coupling information. Also, the event-based communication, signal quantization, and the random packet dropout problems are studied due to the limited communication resource. With the help of switched system theory and by resorting to some stochastic system analysis method, a sufficient condition is proposed to guarantee the exponential stability of estimation error system in the mean-square sense and a prescribed performance level is also ensured. The characterization of the desired estimator gains is derived in terms of the solution to a convex optimization problem. Finally, the effectiveness of the proposed design approach is demonstrated by a simulation example. This paper is concerned with the asynchronous state estimation for a class of discrete-time switched complex networks with communication constraints. An asynchronous estimator is designed to overcome the difficulty that each node cannot access to the topology/coupling information. Also, the event-based communication, signal quantization, and the random packet dropout problems are studied due to the limited communication resource. With the help of switched system theory and by resorting to some stochastic system analysis method, a sufficient condition is proposed to guarantee the exponential stability of estimation error system in the mean-square sense and a prescribed performance level is also ensured. The characterization of the desired estimator gains is derived in terms of the solution to a convex optimization problem. Finally, the effectiveness of the proposed design approach is demonstrated by a simulation example.This paper is concerned with the asynchronous state estimation for a class of discrete-time switched complex networks with communication constraints. An asynchronous estimator is designed to overcome the difficulty that each node cannot access to the topology/coupling information. Also, the event-based communication, signal quantization, and the random packet dropout problems are studied due to the limited communication resource. With the help of switched system theory and by resorting to some stochastic system analysis method, a sufficient condition is proposed to guarantee the exponential stability of estimation error system in the mean-square sense and a prescribed performance level is also ensured. The characterization of the desired estimator gains is derived in terms of the solution to a convex optimization problem. Finally, the effectiveness of the proposed design approach is demonstrated by a simulation example. This paper is concerned with the asynchronous state estimation for a class of discrete-time switched complex networks with communication constraints. An asynchronous estimator is designed to overcome the difficulty that each node cannot access to the topology/coupling information. Also, the event-based communication, signal quantization, and the random packet dropout problems are studied due to the limited communication resource. With the help of switched system theory and by resorting to some stochastic system analysis method, a sufficient condition is proposed to guarantee the exponential stability of estimation error system in the mean-square sense and a prescribed H∞ performance level is also ensured. The characterization of the desired estimator gains is derived in terms of the solution to a convex optimization problem. Finally, the effectiveness of the proposed design approach is demonstrated by a simulation example. This paper is concerned with the asynchronous state estimation for a class of discrete-time switched complex networks with communication constraints. An asynchronous estimator is designed to overcome the difficulty that each node cannot access to the topology/coupling information. Also, the event-based communication, signal quantization, and the random packet dropout problems are studied due to the limited communication resource. With the help of switched system theory and by resorting to some stochastic system analysis method, a sufficient condition is proposed to guarantee the exponential stability of estimation error system in the mean-square sense and a prescribed <inline-formula> <tex-math notation="LaTeX">H_{\infty } </tex-math></inline-formula> performance level is also ensured. The characterization of the desired estimator gains is derived in terms of the solution to a convex optimization problem. Finally, the effectiveness of the proposed design approach is demonstrated by a simulation example.
Author	Srinivasan, Dipti Yu, Li Wang, Qing-Guo Zhang, Dan Li, Hongyi
Author_xml	– sequence: 1 givenname: Dan orcidid: 0000-0001-5140-3588 surname: Zhang fullname: Zhang, Dan email: danzhang@zjut.edu.cn organization: Department of Automation, Zhejiang University of Technology, Hangzhou, China – sequence: 2 givenname: Qing-Guo orcidid: 0000-0002-3672-3716 surname: Wang fullname: Wang, Qing-Guo organization: Institute for Intelligent Systems, University of Johannesburg, Johannesburg, South Africa – sequence: 3 givenname: Dipti surname: Srinivasan fullname: Srinivasan, Dipti organization: Department of Electrical and Computer Engineering, National University of Singapore, Singapore – sequence: 4 givenname: Hongyi surname: Li fullname: Li, Hongyi email: hongyi.li@bhu.edu.cn organization: College of Engineering, Bohai University, Jinzhou, China – sequence: 5 givenname: Li surname: Yu fullname: Yu, Li organization: Department of Automation, Zhejiang University of Technology, Hangzhou, China
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/28368834$$D View this record in MEDLINE/PubMed
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SubjectTerms	Asynchronous switching Communication Communications systems Complex networks Convexity Error detection event-based communication Optimization random packet dropouts signal quantization State estimation Stochasticity switched complex networks Switches Switching theory Symmetric matrices Synchronization System theory Systems analysis Systems theory Topology
Title	Asynchronous State Estimation for Discrete-Time Switched Complex Networks With Communication Constraints
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