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Title Artificial intelligence in real time control 1994 (AIRTC'94) : a postprint volume from the IFAC symposium, Valencia, Spain, 3-5 October 1994 / edited by A. Crespo.

Publication Info. Oxford, UK : Published for the International Federation of Automatic Control by Pergamon, 1995.

Copies

Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Edition First edition.
Description 1 online resource (viii, 390 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series IFAC Postprint Volume
IFAC Postprint Volume.
Note "IFAC Symposium on Artificial Intelligence in Real-Time Control"--Foreword.
Bibliography Includes bibliographical references and index.
Note Print version record.
Summary Artificial Intelligence is one of the new technologies that has contributed to the successful development and implementation of powerful and friendly control systems. These systems are more attractive to end-users shortening the gap between control theory applications. The IFAC Symposia on Artificial Intelligence in Real Time Control provides the forum to exchange ideas and results among the leading researchers and practitioners in the field. This publication brings together the papers presented at the latest in the series and provides a key evaluation of present and future developments of Artificial Intelligence in Real Time Control system technologies.
Contents Front Cover; Artificial Intelligence in Real Time Control 1994 (AIRTC'94); Copyrigh Page; IFAC SYMPOSIUM ON ARTIFICIAL INTELLIGENCE IN REAL TIME CONTROL 1994; FOREWORD; Table of Contents; PART 1:PLENARY PAPERS; Chapter 1. Integrating Real-Time AI Techniques in Adaptive Intelligent Agents; 1. INTRODUCTION; 2. REAL TIME TECHNIQUES IN THE AGENT ARCHITECTURE; 3. REAL-TIME AI TECHNIQUES IN THE AGENT'S REASONING METHODS; 4. REAL-TIME AI TECHNIQUES IN THE AGENT'S CONTROL STRATEGY; 5. EMERGENT REAL-TIME PROPERTIES IN AN AGENT'S BEHAVIOR; 6. CONCLUSIONS; 7. REFERENCES
CHAPTER 2. NEURAL NETWORK BASED ADAPTIVE CONTROL1. INTRODUCTION; 2. NEURAL NETWORK BASED CONTROL; 3. LEARNING AND ADAPTATION; 4. NN BASED ADAPTIVE CONTROLLERS CLASSIFICATION; 5. NN ADAPTIVE CONTROL WITH FAST ADAPTATION SPEED; 6. STABILITY ANALYSIS; 7. IMPLEMENTATIONS; 8. CONCLUSIONS; ACKNOWLEDGEMENT; 9. REFERENCES; CHAPTER 3. A COMPUTATIONAL INTELLIGENCE PERSPECTIVE ON PROCESS MONITORING AND OPTIMIZATION; 1. INTRODUCTION; 2. THE FUNCTIONAL-LINK NET: EFFICIENCY IN LEARNING A MODEL OF A PROCESS; 3. OPTIMIZATION; 4 ASSOCIATIVE MEMORIZATION AND RECALL; 5 THE COMPUTATIONAL INTELLIGENCE PERSPECTIVE
6. EXAMPLES OF PROCESS MONITORING AND OPTIMIZATION TASKS7. REFERENCES; CHAPTER 4. TRENDS IN ARTIFICIAL INTELLIGENCE APPLICATIONS FOR REAL-TIME CONTROL (A SPECULATIVE STUDY); 1. INTRODUCTION; 2. REAL-TIME SYSTEMS; 3. AI METHODS AND TIME CONSTRAINTS; 4. AI APPLICATIONS IN REAL-TIME; 5. TRENDS IN REAL-TIME AI; 6. CONCLUSIONS; ACKNOWLEDGEMENT; REFERENCES; PART 2:FUZZY LOGIC AND NEURAL NETWORKS; CHAPTER 5. DYNAMIC ANALYSIS OF WEIGTHED-OUTPUT FUZZY CONTROL SYSTEMS; 1. INTRODUCTION; 2. STABILITY ANALYSIS; 3. WEIGTHED OUTPUT FUZZY CONTROLLERS; 4. CONCLUSIONS; 5. ACKNOWLEDGEMENTS; 6. REFERENCES
CHAPTER 6. IDENTIFICATION OF FUZZY RULES FROM LEARNING DATA1. INTRODUCTION; 2. THE SIMPLIFIED COS-FUZZY CONTROLLER; 3. THE IDENTIFICATION ALGORITHM; 4. EXAMPLES; 5. CONCLUSIONS; REFERENCES; CHAPTER 7. ROBUST DESIGN OF FUZZY CONTROLLERS BASED ON SMALL GAIN CONDITIONS; 1. INTRODUCTION; 2. STABILITY ANALYSIS; 3. ROBUST DESIGN; 4. EXAMPLE; 5. CONCLUSIONS; 6. ACKNOWLEDGEMENT; 7. REFERENCES; CHAPTER 8. A FUZZY CONTROLLER FOR ACTIVATED SLUDGE WASTE WATER PLANTS; 1. INTRODUCTION; 2. AN EXAMPLE PLANT; 3. CONVENTIONAL CONTROL; 4. THE FUZZY CONTROLLER PROPOSED; 5. SIMULATION EXPERIMENTS AND RESULTS
6. CONCLUDING REMARKSAcknowledgements; 7. REFERENCES; CHAPTER 9. AN ADVANCED FUZZY CONTROLLER FOR TRAFFIC LIGHTS; 1. INTRODUCTION; 2. FUZZY LOGIC AND TRAFFIC LIGHT DESIGN; 3. THE PROBLEM CONSIDERED; 4. SIMULATION EXPERIMENTS AND THEIR RESULTS; 5. CONCLUDING REMARKS; Acknowledgements; 6. REFERENCES; CHAPTER 10.REAL TIME FUZZY CONTROL OF COLUMN FLOTATION PROCESS; 1. INTRODUCTION; 2. FUZZY CONTROLLER DESCRIPTION; 3. GRAPHICAL USER INTERFACE; 4. FUZZY CONTROLLER APPLICATION AND RESULTS; 5. CONCLUSIONS; 6. REFERENCES; CHAPTER 11. ANALYSIS OF RULEBASE COHERENCE IN FUZZY CONTROL SYSTEMS
Language English.
Subject Real-time control -- Congresses.
Artificial intelligence -- Congresses.
Commande en temps réel -- Congrès.
Intelligence artificielle -- Congrès.
TECHNOLOGY & ENGINEERING -- Engineering (General)
Artificial intelligence
Real-time control
Genre/Form Congress
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Added Author Crespo, A. (Alfons)
International Federation of Automatic Control.
IFAC Symposium on Artificial Intelligence in Real-Time Control (1994 : Valencia, Spain)
Other Form: Print version: Artificial intelligence in real time control 1994 (AIRTC'94). 1st ed. Kidlington, Oxford, UK ; Tarrytown, N.Y., USA : Published for the International Federation of Automatic Control by Pergamon, 1995 0080422365 (DLC) 95007031 (OCoLC)32166639
ISBN 9781483296937 (electronic bk.)
1483296938 (electronic bk.)
9781322472119
1322472114
9780080422367
Standard No. DEBBG BV042987854
DEBBG BV043614648
DEBSZ 431854696
DEBSZ 475032756
NZ1 15917583
AU@ 000056049458

 
    
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