Intelligent Supervisory Control: A Qualitative Bond Graph Reasoning Approach (World Scientific Series in Robotics & Intelligent Systems): 14 (World . Series In Robotics And Intelligent Systems)

Linkens, Derek A,Wang, H

ISBN 10: 9810226586 / ISBN 13: 9789810226589

Published by World Scientific Publishing Co P, 1996

About this Item

Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.

Seller Inventory # wbb0025163154

Bibliographic Details

• Title: Intelligent Supervisory Control: A Qualitative Bond Graph Reasoning Approach (World Scientific Series in Robotics & Intelligent Systems): 14 (World . Series In Robotics And Intelligent Systems)
• Publisher: World Scientific Publishing Co P
• Publication Date: 1996
• Language: English
• ISBN 10: 9810226586
• ISBN 13: 9789810226589
• Binding: Hardcover
• Condition: Good
• Weight: 438 grams

About this title

Synopsis

In this book, a methodology integrating qualitative reasoning and bond graphs is developed to construct intelligent supervisory control systems. Qualitative reasoning is a powerful model-based reasoning method while bond graphs are a formal modelling language for dynamic systems. Their integration and qualitative reasoning on bond graphs results in a problem-solving approach to artificial intelligence, in which qualitative reasoning is used as the general reasoning strategy and bond graphs are employed as the knowledge representation.A systematic modelling procedure based on qualitative bond graphs is presented. A controller design method is developed to derive control algorithms from qualitative bond graph models. An auto-tuning scheme is proposed to adjust the controllers in order to meet performance criteria and adapt to system changes. A fault diagnosis mechanism is built to localise system faults, and an additional measurement suggestion method is developed for the diagnosis result refinement. An automatic planner is proposed to generate the operation sequences for system start-up, shut-down, and emergency measures to help human operators operate systems safely. All of these applications are combined together via a management mechanism to construct a supervisory control system.