Title :
Memory minimisation in control with stochastic automata
Author_Institution :
University of Essex, Department of Electrical Engineering, Colchester, UK
Abstract :
Stochastic automata have been shown to require less states than deterministic automata in the solution of certain recognition and hypothesis-testing problems. This letter extends the result to a class of control problems involving the regulation of a discrete dynamical system.
Keywords :
automata theory; sampled data systems; stochastic systems; automata theory; control with stochastic automata; discrete dynamical systems regulation; hypothesis testing problems; memory minimisation; minimisation of switching nets; recognition problems; stochastic systems;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19710487
