Effective digital implementation of fuzzy control systems based on approximate discrete-time models

Automatica ◽  
2007 ◽  
Vol 43 (10) ◽  
pp. 1671-1683 ◽  
Author(s):  
Do Wan Kim ◽  
Jin Bae Park ◽  
Young Hoon Joo
Keyword(s):  
Fuzzy Control ◽  
Control Systems ◽  
Discrete Time ◽  
Digital Implementation ◽  
Discrete Time Models

scholarly journals A Supervisory Controller for MIMO Discrete-Time Fuzzy Control Systems

2000 ◽  
Vol 33 (25) ◽  
pp. 301-306
Author(s):  
J. Friedrichs ◽  
F. Gordillo ◽  
A. Ollero
Keyword(s):  
Fuzzy Control ◽  
Control Systems ◽  
Discrete Time ◽  
Supervisory Controller

scholarly journals Effects of Plant Identification on the Generalized Predictive Controllers Design

2016 ◽  
Vol 14 (4) ◽  
pp. 2-10
Author(s):  
E. Garipov
Keyword(s):  
Control System ◽  
System Identification ◽  
Control Systems ◽  
Discrete Time ◽  
Optimization Procedure ◽  
Step Response ◽  
Plant Identification ◽  
Plant Characteristic ◽  
Predictive Controllers ◽  
Discrete Time Models

Abstract The effects of the estmated plant models accuracy on the control system signals quality after generalized predictive controllers design are studied in the paper. Two identification approaches are used for different in structures discrete-time models – by optimization procedure in Optimization Toolbox based on the plant step response as a standard deterministic plant characteristic and by functions in System Identification Toolbox after experiments with random signals on the plant. The generalized predictive controllers are design according to the estimated models. The processes in the simulated control systems are analyzed concerning the effects of different kind plant models on the designed controllers.

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