Title :
Stability criteria for uncertain linear time-varying systems
Author :
Pandey, Amit P. ; Sehr, Martin A. ; de Oliveira, Mauricio C.
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Univ. of California San Diego, La Jolla, CA, USA
Abstract :
In this paper robust stability of continuous linear time-varying systems is addressed based on Lyapunov functions which are constructed by max-composition of continuously differentiable functions. The resulting Lyapunov functions are continuous but not necessarily differentiable and no individual component needs to be positive definite. When the components are quadratic functions it will be possible to prove robust stability of systems which fail the classic quadratic stability test. The resulting conditions are matrix inequalities which are linear after choosing a set of tuning parameters. The robust stability condition is also extended to provide upper-bounds on integral performance measures.
Keywords :
Lyapunov methods; continuous time systems; linear systems; matrix algebra; stability; time-varying systems; uncertain systems; Lyapunov functions; continuous systems; continuously differentiable functions; integral performance measures; matrix inequalities; max-composition; quadratic functions; quadratic stability test; robust stability; tuning parameters; uncertain linear time-varying systems; Asymptotic stability; Lyapunov methods; Robust stability; Stability criteria; Time-varying systems; Upper bound;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7040137