DocumentCode
114444
Title
Discounting the past in robust finite-state systems
Author
Rungger, Matthias ; Tabuada, Paulo
Author_Institution
Electr. Eng. Dept., Univ. of California, Los Angeles, Los Angeles, CA, USA
fYear
2014
fDate
15-17 Dec. 2014
Firstpage
842
Lastpage
847
Abstract
In this paper we introduce discounted input-output dynamical stability as a variant of a recently introduced notion of robustness for discrete and cyber-physical systems. We analyze the verification and synthesis problems for this new notion of robustness for discrete systems given by finite-state automata. We show that the verification problem can be solved in terms of a linear program and hence is solvable in polynomial time. We provide an approximate solution to the synthesis problem whose complexity depends on the accuracy of the approximation. We discuss the merits and drawbacks of discounted input-output dynamical stability in comparison with existing robustness concepts for discrete systems.
Keywords
approximation theory; computational complexity; discrete systems; finite state machines; linear programming; stability; approximation accuracy; cyber-physical systems; discounted input-output dynamical stability; discrete systems; finite-state automata; linear program; polynomial time; robust finite-state systems; synthesis problem analysis; verification problem analysis; Asymptotic stability; Automata; Cost function; Hafnium; Robustness; Stability analysis; Transducers;
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.2014.7039486
Filename
7039486
Link To Document