New method of fault-distribution-dependent memory-reliable controller design for discrete-time systems with stochastic input delays
New method of fault-distribution-dependent memory-reliable controller design for discrete-time systems with stochastic input delays
- Author(s): Z. Gu ; D. Wang ; D. Yue
- DOI: 10.1049/iet-cta.2009.0462
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- Author(s): Z. Gu 1, 2 ; D. Wang 2 ; D. Yue 3
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View affiliations
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Affiliations:
1: College of Power Engineering, Nanjing Normal University, Nanjing, People's Republic of China
2: College of Automation Engineering, Nanjing University of Aeronautics, Astronautics, Nanjing, People's Republic of China
3: Institute of Information and Control Engineering Technology, Nanjing Normal University, Nanjing, People's Republic of China
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Affiliations:
1: College of Power Engineering, Nanjing Normal University, Nanjing, People's Republic of China
- Source:
Volume 5, Issue 1,
6 January 2011,
p.
38 – 46
DOI: 10.1049/iet-cta.2009.0462 , Print ISSN 1751-8644, Online ISSN 1751-8652
A new memory-reliable controller design for a class of discrete-time systems with time-varying input delays is proposed. By assuming that the actuator fault obeys a certain probabilistic distribution, a new practical actuator fault model is presented. Based on this fault model and the known past information, an augmented system with time-varying delay or non-delay, similar to switched systems, is established. By using the Lyapunov–Krasovskii approach, a sufficient condition for the existence of reliable controller is expressed by linear matrix inequalities. An illustrative example is exploited to show the effectiveness of the proposed design procedures.
Inspec keywords: discrete time systems; delays; memoryless systems; control system synthesis; statistical distributions; continuous time systems; stochastic systems; linear matrix inequalities; Lyapunov methods
Other keywords:
Subjects: Stability in control theory; Other topics in statistics; Discrete control systems; Algebra; Distributed parameter control systems; Time-varying control systems; Control system analysis and synthesis methods
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