Real-time predictable control based on single-neuron PSD controller

Autor:	Zheng-Xi Li, Ren-Tao Zhao, Ying-Hong Li, Dehui Sun
Rok vydání:	2004
Předmět:	Model predictive control Adaptive control Automatic control Control theory Computer science Process control Networked control system Linear-quadratic-Gaussian control Intelligent control
Zdroj:	Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).
DOI:	10.1109/icmlc.2003.1259570
Popis:	A new control strategic, which features a combination of single-neuron PSD controller and Levinson d-step forward predictor, is presented in this paper. Simulation shows that this method is able to provide good dynamic performance for industrial object with large time-delay, which has variant model parameters.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5b8e21ad5754ceb663800419b19afb64 https://doi.org/10.1109/icmlc.2003.1259570 Zobrazit plný text záznamu