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A two-level gradient based approach for intelligent coordination of large-scale systems - Part I

Sadati, N ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. DOI: 10.1109/ICTAI.2005.20
  3. Publisher: IEEE Computer Society , 2005
  4. Abstract:
  5. In this paper, the concept of coordination is introduced within the framework of two-level large-scale systems and a new approach based on Interaction Prediction Principle is presented. The proposed approach is formulated in an intelligent manner in such a way that it provides a new strategy that can be used to synthesize an on-line supervisory controller for the overall two-level large-scale systems, extendable to multi-level control systems. By using the new methodology which is based on using neural network for modeling each sub-system, typical gradient method for optimization of first-level sub-problems, and the gradient of the interaction prediction errors related to the predicted interactions, at the second level, the coordination of the overall large-scale system is done. Simulation results demonstrate the effectiveness of the proposed strategy in compare to the classical methods. © 2005 IEEE
  6. Keywords:
  7. Computer simulation ; Control system analysis ; Mathematical models ; Neural networks ; Online systems ; Interaction Prediction Principles ; Multilevel control systems ; Supervisory controllers ; Large scale systems
  8. Source: ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05, Hong Kong, 14 November 2005 through 16 November 2005 ; Volume 2005 , 2005 , Pages 470-477 ; 10823409 (ISSN); 0769524885 (ISBN); 9780769524887 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/1562981?section=abstract