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141206s1995 enka ob 001 0 eng d |
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|a EBLCP
|b eng
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|a 655159666
|a 1162022728
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|a 9781483296937
|q (electronic bk.)
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|a 9781322472119
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|a 1322472114
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|z 9780080422367
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|a (OCoLC)897647316
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|a 629.8/9
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|a Artificial intelligence in real time control 1994 (AIRTC'94) :
|b a postprint volume from the IFAC symposium, Valencia, Spain, 3-5 October 1994 /
|c edited by A. Crespo.
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|a First edition.
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|a Oxford, UK :
|b Published for the International Federation of Automatic Control by Pergamon,
|c 1995.
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300 |
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|a 1 online resource (viii, 390 pages) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a IFAC Postprint Volume
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|a "IFAC Symposium on Artificial Intelligence in Real-Time Control"--Foreword.
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|a Includes bibliographical references and index.
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|a Print version record.
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|a 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.
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|a 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
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|a 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
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|a 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
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|a 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
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|a 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
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|a English.
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650 |
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0 |
|a Real-time control
|v Congresses.
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650 |
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|a Artificial intelligence
|v Congresses.
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650 |
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6 |
|a Commande en temps r�eel
|0 (CaQQLa)201-0193937
|v Congr�es.
|0 (CaQQLa)201-0378219
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650 |
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6 |
|a Intelligence artificielle
|0 (CaQQLa)201-0008626
|v Congr�es.
|0 (CaQQLa)201-0378219
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650 |
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7 |
|a TECHNOLOGY & ENGINEERING
|x Engineering (General)
|2 bisacsh
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650 |
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|a Artificial intelligence
|2 fast
|0 (OCoLC)fst00817247
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650 |
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7 |
|a Real-time control
|2 fast
|0 (OCoLC)fst01091216
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655 |
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2 |
|a Congress
|0 (DNLM)D016423
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655 |
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7 |
|a proceedings (reports)
|2 aat
|0 (CStmoGRI)aatgf300027316
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655 |
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|a Conference papers and proceedings
|2 fast
|0 (OCoLC)fst01423772
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655 |
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7 |
|a Conference papers and proceedings.
|2 lcgft
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655 |
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7 |
|a Actes de congr�es.
|2 rvmgf
|0 (CaQQLa)RVMGF-000001049
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700 |
1 |
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|a Crespo, A.
|q (Alfons)
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710 |
2 |
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|a International Federation of Automatic Control.
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711 |
2 |
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|a IFAC Symposium on Artificial Intelligence in Real-Time Control
|d (1994 :
|c Valencia, Spain)
|
776 |
0 |
8 |
|i Print version:
|t Artificial intelligence in real time control 1994 (AIRTC'94).
|b 1st ed.
|d Kidlington, Oxford, UK ; Tarrytown, N.Y., USA : Published for the International Federation of Automatic Control by Pergamon, 1995
|z 0080422365
|w (DLC) 95007031
|w (OCoLC)32166639
|
830 |
|
0 |
|a IFAC Postprint Volume.
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780080422367
|z Texto completo
|