Title :
Completeness and other properties of input-output based finite approximations
Author :
Tarraf, Danielle C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
We consider discrete-time plants that interact with their controllers via fixed discrete alphabets in the absence of exogenous inputs. For this class of systems, we revisit a general procedure for constructing a sequence of finite state approximate models starting from finite length sequences of input and output signal pairs. After providing intuition for the proposed construction, we show that it satisfies the desired properties of ρ/μ approximations. We then propose a readily verifiable sufficient condition for ensuring finiteness of the approximation error gain. Finally, we show that the proposed construct satisfies an interesting ´completeness´ property, making it attractive as a medium for studying fundamental limitations of finite state approximation and state observation under coarse sensing.
Keywords :
approximation theory; discrete time systems; ρ/μ approximations; approximation error gain finiteness; coarse sensing; completeness property; controllers; discrete-time plants; finite length sequences; finite state approximate models; fixed discrete alphabets; fundamental limitations; input-output based finite approximations; input-output signal pairs; state observation; sufficient condition; Approximation error; Automata; Computational modeling; Discrete-time systems; Impedance matching; Trajectory;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760390