Title :
A neural method for dynamical hierarchical optimal control of large-scale systems with multiple time delays
Author :
Hou, Zeng-Guang ; Bao, Paul ; Han, Jing-Qing
Author_Institution :
Inst. of Syst. Sci., Acad. Sinica, Beijing, China
Abstract :
In the paper, a neural-network-based dynamic solver (LHCNN) is proposed for dynamical hierarchical optimal control of large-scale systems with multiple time delays. The local optimization subnetworks (LONN) and the coordination subnetwork (CNN) constituting the LHCNN can work simultaneously to provide the optimal solutions to the original problems. The LHCNN is globally stable and is inherently easy for implementation
Keywords :
delays; hierarchical systems; large-scale systems; neurocontrollers; optimal control; CNN; LHCNN; LONN; coordination subnetwork; dynamical hierarchical optimal control; global stabililty; large-scale systems; local optimization subnetworks; multiple time delays; neural-network-based dynamic solver; Application software; Computer networks; Delay effects; Erbium; Integrated circuit interconnections; Lagrangian functions; Large-scale systems; Neural networks; Optimal control; Optimization methods;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.686029
