Artificial Intelligence in Real-Time Control 1989 (eBook)

Hua-Tian Li, M.G. Rodd, Shi-Quan Su (Herausgeber)

eBook Download: PDF

2014 | 1. Auflage
123 Seiten
Elsevier Science (Verlag)
978-1-4832-9833-7 (ISBN)

Infos

Papers presented at the workshop are representative of the state-of-the art of artificial intelligence in real-time control. The issues covered included the use of AI methods in the design, implementation, testing, maintenance and operation of real-time control systems. While the focus was on the fundamental aspects of the methodologies and technologies, there were some applications papers which helped to put emerging theories into perspective. The four main subjects were architectural issues; knowledge - acquisition and learning; techniques; and scheduling, monitoring and management.

Inhalt

Front Cover 1
Artificial Intelligence in Real-Time Control 1989 4
Copyright Page 5
Table of Contents 
10 
IFAC WORKSHOP ON ARTIFICIAL INTELLIGENCE IN REAL-TIME CONTROL 1989 6
PREFACE 8
PART I: KEYNOTE ADDRESSES 12
CHAPTER 1. ARTIFICIAL INTELLIGENCE AND FEEDBACK CONTROL 12
1 Introduction 12
2 Feedback Control and Artificial Intelligence 12
3 Indirect Expert Control 14
4 Direct Real-Time Expert Control 15
5 Modeling of the Operator 18
6 Learning Systems 19
7 Conclusions 20
References 21
CHAPTER 2. KNOWLEDGE-BASED VISION SYSTEMS IN REAL-TIME CONTROL 24
1 INTRODUCTION 24
2. COMPUTER VISION - A REVIEW 25
3. REQUIREMENTS OF INDUSTRIAL VISION SYSTEMS 25
4. KNOWLEDGE-BASED COMPUTER VISION SYSTEMS 26
5 KNOWLEDGE-REPRESENTATION AND -ACQUISITION FOR COMPUTER VISION 27
6 CONCLUSIONS 29
REFERENCES 29
CHAPTER 3. DISTRIBUTED ESTIMATION, INFERENCING AND MULTI-SENSOR DATA FUSION FOR REAL TIME SUPERVISORY CONTROL 30
INTRODUCTION 30
THE HIERARCHY OF MULTI-SENSOR DATA FUSION: BAYESIAN METHODS 31
POSSIBILITY, EVALUATION AND NON-NUMERIC METHODS FOR DATA FUSION 33
REFERENCES 34
PART II: ARCHITECTURAL ISSUES 36
CHAPTER 4. DISTRIBUTED INTELLIGENT OBJECTS IN AN ARCHITECTURE FOR REAL-TIME MONITORING AND CONTROL 36
INTRODUCTION 36
THE REQUIREMENTS OF FUTURE REAL-TIME KNOWLEDGE SYSTEMS 36
THE MANAGEMENT OF TIME 37
THE MANAGEMENT OF KNOWLEDGE 38
THE MANAGEMENT OF DISTRIBUTION 39
ADROIT - A DISTRIBUTED REAL-TIME OBJECT-ORIENTED INTELLIGENT TESTBED 39
CONCLUSION 40
REFERENCES 40
CHAPTER 5. USING DISCRETE AI TECHNIQUES FOR DESIGNING A REAL-WORLD CONTROL SUPERVISOR 42
INTRODUCTION 42
CONTROL SUPERVISION ARCHITECTURE 43
A DISCRETE WORLD MODEL 44
REAL-TIME ISSUES 45
CONCLUSION 45
REFERENCES 46
CHAPTER 6. HARDWARE AND SOFTWARE STRUCTURE OF A REAL-TIME EXPERT SYSTEM FOR CONTROL OF CHEMICAL PLANTS 48
INTRODUCTION 48
THE CONCEPT OF AUTOMATION WITH INTEGRATED REAL-TIME XPS 48
THE REALIZATION OF THE KNOWLEDGE BASED SYSTEM OF AUTOMATION 50
CONCLUSIONS 51
REFERENCES 51
PART III: KNOWLEDGE-ACQUISITION AND LEARNING 54
CHAPTER 7. MODELLING AND CONTROL FOR NONLINEAR TIME-DELAY SYSTEM VIA PATTERN RECOGNITION APPROACH 54
INTRODUCTION 54
STATISTICAL FUZZY PATTERN CLASSIFIER FOR SYSTEM MODELLING 54
INDUSTRIAL APPLICATION EXAMPLE — THE REAL TIME ESTIMATION AND FEEDBACK CONTROL OF THE GASOLINE VAPOUR—PRESSURE IN FCCU 57
NUMERICAL EXAMPLE 57
CONCLUSION 58
REFERENCE 58
CHAPTER 8. A CLUSTERING METHOD OF KNOWLEDGE ACQUISITION IN A REAL-TIME CONTROL SYSTEM 60
INTRODUCTION 60
A REAL-TIME PROBLEM 60
KNOWLEDGE CLUSTERING METHOD 61
CONCLUSION 62
REFERENCES 62
PART IV: TECHNIQUES 64
CHAPTER 9. TOWARDS INTELLIGENT PID CONTROL 64
1. Introduction 64
2. Process Characteristics 64
3. Features 65
4. Empirics 66
5· Relations 66
6. Ziegler-Nichols Tuning 67
7. Conclusions 69
8. References 69
CHAPTER 10. AN EXTENDED FEEDBACK STRUCTURE OF INTELLIGENT COMPUTER-AIDED CONTROL SYSTEMS DESIGN BASED ON OBJECT-ORIENTED LANGUAGE 70
1. Introduction 70
2. Control design 70
3. Graphics based on object-oriented language 71
4. Intelligent CACSD 73
5. Graphics data-base 74
6. Conclusion 75
References 75
CHAPTER 11. AN EXPERT SYSTEM SHELL FOR ANALYSIS OF REAL TIME SIGNALS 76
INTRODUCTION 76
BUILDING THE SYSTEM 76
SYSTEM STRUCTURE 78
REFERENCES 78
CHAPTER 12. AN EXPERT SELF-LEARNING FUZZY CONTROLLER 80
INTRODUCTION 80
THE PRINCIPLES OF ESLFC 80
SIMULATION EXPERIMENTS 83
CONCLUSION 83
REFERENCE 84
CHAPTER 13. ASYNCHRONOUS METHODS FOR EXPERT SYSTEMS IN REAL-TIME APPLICATIONS 86
Introduction 86
Asynchronous events 87
Transforming expert systems 87
Example 88
Discussion 89
References 89
PART V: SCHEDULING, MONITORING AND MANAGEMENT 90
CHAPTER 14. EVOLUTION OF EXPERT SYSTEMS FOR REAL-TIME PROCESS MANAGEMENT: A CASE STUDY ON MOTOR CONTROL 90
INTRODUCTION 90
KNOWLEDGE REPRESENTATION IN EXPERT SYSTEMS 90
REAL-TIME EXPERT SYSTEMS 91
DEDICATED COMPUTER APPROACH 91
A BETTER APPROACH - IMBEDDED EXPERT SYSTEMS 91
A MOTOR CONTROL APPLICATION 92
COMPARISON OF THE TWO APPROACHES 92
ADVANTAGES IN TESTABILITY 93
CONCLUSIONS 93
CHAPTER 15. NEURAL NETWORK BASED REAL-TIMEPRODUCTION SCHEDULING FOR INDUSTRIAL PROCESSES 96
INTRODUCTION 96
PROBLEM STATEMENT 96
ARTIFICIAL NEURAL NETWORK BASED EXPERT SYSTEM 97
AN INDUSTRIAL APPLICATION CASE STUDY —THE REAL TIME PRODUCTION SCHEDULING OF THE STEEL PLATE MILL 98
CONCLUSION 99
REFERENCE 99
CHAPTER 16. EXPERT SYSTEM FOR SENSOR FAILURE DETECTION OF AIRCRAFT 102
INTRODUCTION 102
MODEL FOR FLIGHT STATE ESTIMATION 103
BASIC STRUCTURE OF EXPERT SYSTEM 105
SIMULATION AND APPLICATION 107
CONCLUSION 107
REFERENCES 107
PART VI: APPLICATION STUDIES 108
CHAPTER 17. APPLICATION OF EXPERT FUZZY CONTROLLER IN THE PENICILLIN FERMENTATION PROCESSES 108
INTRODUCTION 108
PROBLEM FORMULATION 108
FERMENTATION PHASE RECOGNITION 109
CONSTRUCTION OF RULE BASE 109
CONTROL STRATEGY 109
CONCLUSIONS 110
REFERENCES 110
CHAPTER 18. THE RULE-BASED DISTILLATION DECISION AND CONTROL SYSTEM 112
Introduction 112
Knowledge base 113
Conclusions 114
Acknowledgeaents 114
References 115
CHAPTER 19. APPLICATION OF INTELLIGENT CONTROL OF TIME-DELAY PROCESSES TO THE MIX MOISTURE CONTROL SYSTEM IN SINTERPLANTS 118
1. INTRODUCTION 118
2. THE BASIC CONTROL UNIT 118
3. THE INTELLIGENT CONTROL UNIT 119
4. APPLICATION TO THE MIX MOISTURE CONTROL SYSTEM IN A SINTERPLANT 120
5. CONCLUSIONS 120
REFERENCES 120
AUTHOR INDEX 122
KEYWORD INDEX 124

Produkt-Details

• Erscheint lt. Verlag: 4.7.2014
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Bauwesen
• ISBN-10: 1-4832-9833-7 / 1483298337
• ISBN-13: 978-1-4832-9833-7 / 9781483298337