NDLI: Dwell time optimization in switching control of parameter varying time delay systems

Content Provider	IEEE Xplore Digital Library
Author	Peng Yan Ozbay, H. Sansal, M.
Copyright Year	2011
Description	Author affiliation: Dept. of Electrical & Electronics Engineering, Bilkent University, Ankara 06800, Turkey (Ozbay, H.) \|\| Meteksan Defence Industry Inc., Beytepe Köyü Yolu No:3, Bilkent, 06800 Ankara, Turkey (Sansal, M.) \|\| Systems Department, United Technologies Research Center, 411 Silver Lane, East Hartford, CT, 06108, USA (Peng Yan)
Abstract	It has been shown that parameter varying systems with time delays can be robustly stabilized by switching control, provided that the plant's parameter varies slowly enough such that the dwell time conditions of the switched controllers can be satisfied. In this paper, the minimization of dwell time is considered, where an iterative search algorithm is developed from the singular value perspectives. The local minimal dwell time obtained in this paper can be used to estimate the upper bound on how fast the plant's parameters can vary. Meanwhile, the switching controller synthesis with optimal dwell time is also discussed, where robust stabilizer design algorithm is presented to achieve robust stability at certain operating range, as well as the local minimal dwell time for controller switching. A numerical example is given to illustrate the proposed algorithm.
Starting Page	4909
Ending Page	4914
File Size	165213
Page Count	6
File Format	PDF
ISBN	9781612848006
ISSN	07431546
e-ISBN	9781612848013
e-ISBN	9781612847993
DOI	10.1109/CDC.2011.6160365
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Switches Delay effects Robustness Numerical stability Optimization Minimization
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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