Title :
Data-based stability analysis for linear discrete-time systems
Author :
Park, Un Sik ; Ikeda, Masao
Abstract :
This paper proposes a novel approach to stability analysis of linear time-invariant discrete-time systems based on experimental input and output data. In this approach, we develop data-based stability conditions for both open-loop and closed-loop systems in the framework of the Lyapunov´s second method. Unlike conventional model-based stability analysis, no mathematical model is employed.
Keywords :
closed loop systems; control system analysis; discrete time systems; linear systems; open loop systems; stability; Lyapunov second method; closed-loop system; data-based stability analysis; linear time-invariant discrete-time systems; open-loop system; Control system synthesis; Control systems; Difference equations; Information analysis; Kernel; Mathematical model; Stability analysis; State-space methods; Subspace constraints; Transfer functions;
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
Print_ISBN :
0-7803-8682-5
DOI :
10.1109/CDC.2004.1430292
