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A neural method for dynamical hierarchical optimal control of large-scale systems with multiple time delays

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3 Author(s)
Zeng-Guang Hou ; Inst. of Syst. Sci., Acad. Sinica, Beijing, China ; Bao, P. ; Jing-Qing Han

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

Published in:

Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on  (Volume:2 )

Date of Conference:

4-9 May 1998

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