Title :
Fuzzy tuning method for simulation of dynamic processes
Author_Institution :
Dept. of Autom. of Ind., Sofia Univ., Bulgaria
Abstract :
A new MIMO type (multi-input, multi-output) fuzzy inference procedure for successive identification of a dynamic process of first order is proposed and investigated. It consists of two fuzzy rule bases adjusting the gain K and the time constant T respectively. A special “soft switching” procedure called fuzzy switch has been introduced. It calculates at each time instant the activation degree of tuning needed for both fuzzy reasoning procedures. A test plant example has been used for extensive evaluation of the practical applicability of the proposed fuzzy reasoning method
Keywords :
MIMO systems; fuzzy control; identification; inference mechanisms; intelligent control; simulation; uncertainty handling; MIMO; activation degree; dynamic process identification; dynamic process simulation; fuzzy inference; fuzzy reasoning; fuzzy rule bases; fuzzy switch; fuzzy tuning method; gain; multi-input multi-output; soft switching; time constant; Automation; Electrical equipment industry; Fuzzy reasoning; Industrial control; MIMO; Nonlinear dynamical systems; Performance gain; Switches; Testing; Time varying systems;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-7174-2
DOI :
10.1109/ANNES.1995.499461
