NDLI: A Recurrent Neural Network for Hierarchical Control of Interconnected Dynamic Systems

Content Provider	IEEE Xplore Digital Library
Author	Zeng-Guang Hou Gupta, M.M. Nikiforuk, P.N. Min Tan Cheng, L.
Copyright Year	1990
Abstract	A recurrent neural network for the optimal control of a group of interconnected dynamic systems is presented in this paper. On the basis of decomposition and coordination strategy for interconnected dynamic systems, the proposed neural network has a two-level hierarchical structure: several local optimization subnetworks at the lower level and one coordination subnetwork at the upper level. A goal-coordination method is used to coordinate the interactions between the subsystems. By nesting the dynamic equations of the subsystems into their corresponding local optimization subnetworks, the number of dimensions of the neural network can be reduced significantly. Furthermore, the subnetworks at both the lower and upper levels can work concurrently. Therefore, the computation efficiency, in comparison with the consecutive executions of numerical algorithms on digital computers, is increased dramatically. The proposed method is extended to the case where the control inputs of the subsystems are bounded. The stability analysis shows that the proposed neural network is asymptotically stable. Finally, an example is presented which demonstrates the satisfactory performance of the neural network
Sponsorship	IEEE Computational Intelligence Society
Page Count	16
File Size	1249529
Starting Page	466
Ending Page	481
File Format	PDF
ISSN	10459227
Volume Number	18
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Recurrent neural networks Control systems Neural networks Optimal control Large-scale systems Computer networks Interconnected systems Laboratories Intelligent systems Equations recurrent neural networks Dynamic neural networks goal coordination hierarchical control interconnected systems large-scale systems neural networks optimal control optimization
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Computer Science Applications Software

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