Document Detail


Robust H infinity control for networked systems with random packet losses.
MedLine Citation:
PMID:  17702289     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this paper, the robust H infinity control problem is considered for a class of networked systems with random communication packet losses. Because of the limited bandwidth of the channels, such random packet losses could occur, simultaneously, in the communication channels from the sensor to the controller and from the controller to the actuator. The random packet loss is assumed to obey the Bernoulli random binary distribution, and the parameter uncertainties are norm-bounded and enter into both the system and output matrices. In the presence of random packet losses, an observer-based feedback controller is designed to robustly exponentially stabilize the networked system in the sense of mean square and also achieve the prescribed H infinity disturbance-rejection-attenuation level. Both the stability-analysis and controller-synthesis problems are thoroughly investigated. It is shown that the controller-design problem under consideration is solvable if certain linear matrix inequalities (LMIs) are feasible. A simulation example is exploited to demonstrate the effectiveness of the proposed LMI approach.
Authors:
Zidong Wang; Fuwen Yang; Daniel W C Ho; Xiaohui Liu
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society     Volume:  37     ISSN:  1083-4419     ISO Abbreviation:  IEEE Trans Syst Man Cybern B Cybern     Publication Date:  2007 Aug 
Date Detail:
Created Date:  2007-08-17     Completed Date:  2007-09-11     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9890044     Medline TA:  IEEE Trans Syst Man Cybern B Cybern     Country:  United States    
Other Details:
Languages:  eng     Pagination:  916-24     Citation Subset:  IM    
Affiliation:
Department of Information Systems and Computing, Brunel University, UB8 3PH Middlesex, UK. Zidong.Wang@brunel.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Artifacts*
Artificial Intelligence*
Computer Communication Networks*
Computer Simulation
Feedback
Information Storage and Retrieval / methods*
Models, Statistical*
Signal Processing, Computer-Assisted*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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