Title :
Matrix approach to stabilizability of deterministic finite automata
Author :
Xiangru Xu ; Yanqiong Zhang ; Yiguang Hong
Author_Institution :
Key Lab. of Syst. & Control, Acad. of Math. & Syst. Sci., Beijing, China
Abstract :
This paper investigates the state feedback stabilizing problem of deterministic finite automata using a matrix approach. With the help of semi-tensor product, a matrix-based expression for finite automata is given, and the dynamics of automata are expressed in the form of a discrete-time bilinear equation. After providing the notions of equilibrium and cycle stability, we give necessary and sufficient algebraic conditions for the stabilizability of deterministic finite automata for the two respective cases. Then, based on the matrix expression, we focus on a special case where the controlled state trajectories to the target equilibrium is minimal. All the state feedback controllers can be obtained by solving a matrix inequality. Examples are also given for illustration.
Keywords :
deterministic automata; finite automata; linear matrix inequalities; stability; state feedback; tensors; cycle stability notion; deterministic finite automata; discrete-time bilinear equation; equilibrium notion; matrix approach; matrix expression; matrix-based automata expression; necessary algebraic condition; semitensor product; stabilizability; state feedback controller; state feedback stabilizing problem; sufficient algebraic condition; Automata; Doped fiber amplifiers; Linear matrix inequalities; Stability analysis; State feedback; Trajectory; Vectors; Finite automata; Matrix expression; Semi-tensor product; Stabilization;
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-0177-7
DOI :
10.1109/ACC.2013.6580331