Title :
Multivariable large delay system neural network multi-step predictive dynamic modeling research
Author :
Shi Buhai ; Fang Zhixiong
Author_Institution :
Autom. Sci. & Eng. Coll., South China Univ. of Technol., Guangzhou, China
Abstract :
The paper mainly introduce the dynamic modeling method of multi-step predictive neural network in the large delay system. First proposed the improved LMBP algorithm, and then discussed the algorithm and structure of neural network and dynamic response characteristics of large delay system in detail. Finally based on single variable delay system modeling frame presented multivariable large delay system´s neural network multi-step predictive modeling new algorithm. And have done simulation to multi-step predictive modeling based on the data of the water purification coagulant sedimentation delay system.
Keywords :
delays; dynamic response; neurocontrollers; water treatment; LMBP algorithm; dynamic modeling method; dynamic response characteristics; multistep predictive dynamic modeling research; multistep predictive modeling new algorithm; multistep predictive neural network; multivariable large delay system neural network; single variable delay system modeling frame; water purification coagulant sedimentation delay system; Adaptation models; Computational modeling; Data models; Delay systems; Heuristic algorithms; Prediction algorithms; Predictive models; Delay System; Multi-Step Predictive Control; Neural Network; Water Purification Process;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
