Title :
On finite memory observability of a class of systems over finite alphabets with linear dynamics
Author :
Donglei Fan ; Tarraf, Danielle C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
In this paper, we consider systems over finite alphabets with linear internal dynamics and quantized output. We motivate the need for a new notion of observability for this class of systems, and we propose a new definition of finite memory observability. The observers are drawn from the class of deterministic finite state machines, with the objective of estimating the system state for the purpose of output prediction. We derive both necessary and sufficient conditions for the system to be finite memory observable, and we illustrate with examples.
Keywords :
deterministic automata; discrete time systems; finite state machines; linear systems; observability; observers; deterministic finite state machines; finite memory observability; linear internal dynamics; necessary and sufficient conditions; observers; system state estimation; systems over finite alphabets; Approximation methods; Indexes; Memory management; Observability; Observers; Switches; Finite memory observability; quantized output; system over finite alphabets;
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.2014.7039992