DocumentCode :
442296
Title :
A neuro-predictive based self-tuning controller
Author :
Lazar, C. ; Vrabie, D. ; Carari, S.
Author_Institution :
Dept. of Autom. Control & Ind. Informatics, "Gh. Asachi" Tech. Univ. of Iasi, Romania
Volume :
1
fYear :
2005
fDate :
26-29 June 2005
Firstpage :
634
Abstract :
A self-tuning controller for a class of processes with predictable dynamics variations using model predictive scheme is presented in this paper. The self-tuning controller design is based on the optimization of a cost function subject to constraints over a finite prediction horizon in time, and, it uses a neural process model. The performance of this new self-tuning controller is substantiated by experiments on a pH control system. Simulation results show how the model predictive scheme is involved in the self-tuning control of nonlinear systems.
Keywords :
control system synthesis; neurocontrollers; predictive control; self-adjusting systems; cost function optimization; model predictive scheme; neural process model; neuropredictive based self-tuning controller; pH control system; self-tuning controller design; Adaptive control; Control systems; Industrial control; Informatics; Job shop scheduling; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2005. ICCA '05. International Conference on
Print_ISBN :
0-7803-9137-3
Type :
conf
DOI :
10.1109/ICCA.2005.1528194
Filename :
1528194
Link To Document :
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