DocumentCode :
114221
Title :
Feedback refinement relations for symbolic controller synthesis
Author :
Reissig, Gunther ; Rungger, Matthias
Author_Institution :
Dept. Aerosp. Eng., Univ. of the Fed. Armed Forces Munich, Neubiberg, Germany
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
88
Lastpage :
94
Abstract :
A common issue with existing approaches to symbolic controller synthesis lies in the huge complexity of the resulting controllers. In particular, the controllers usually need full plant state information and contain an abstraction of the plant as a building block. In this note, we present an extension which helps reduce that complexity. Our technique is based on the novel concept of feedback refinement relations to compare plants with their finite-state approximations. As an additional feature, our approach builds on infinitary completed trace semantics and allows for the synthesis of controllers for arbitrary, not necessarily prefix-closed specifications. We also reveal if and how existing symbolic controller synthesis procedures should be extended to benefit from the advantages of our technique.
Keywords :
control system synthesis; feedback; feedback refinement relations; finite-state approximations; infinitary completed trace semantics; prefix-closed specifications; symbolic controller synthesis procedures; Abstracts; Adaptive control; Complexity theory; Control systems; Measurement errors; Semantics; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
Type :
conf
DOI :
10.1109/CDC.2014.7039364
Filename :
7039364
Link To Document :
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