Johannsen Integrated Systems Engineering

1. Auflage 2014
ISBN: 978-1-4832-9691-3
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 440 Seiten, Web PDF

Reihe: IFAC Postprint Volume

A key solution for present and future technological problems is an integration systems approach. The challenging cross-discipline of integrated systems engineering is, perhaps, more easily accepted and implemented in the organizational structures of industries than in academia. The opportunity for both sides, leading researchers and industrial practitioners, in this field to exchange ideas, concepts and solutions has been provided at the IFAC symposia on integrated systems engineering. This postprint volume contains all those papers which were presented at the symposia, including the three plenary papers and the papers of the case study session as well as the summaries of the three discussion sessions.

Autoren/Hrsg.

Johannsen, G.

Inhaltsverzeichnis

1;Front Cover;1
2;Integrated Systems Engineering;2
3;Copyright Page;3
4;Table of Contents;6
5;Preface;5
6;PART I: PLENARY PAPER;12
6.1;CHAPTER 1. INTEGRATED SYSTEMS ENGINEERING: THE CHALLENGING CROSS-DISCIPLINE;12
6.1.1;1. INTRODUCTION;12
6.1.2;2. SYSTEMS ENGINEERING IN INDUSTRIAL AND COMMERCIAL CONTEXTS;13
6.1.3;3. SYSTEMS ENGINEERING METHODOLOGIES;14
6.1.4;4. SYSTEMS ENGINEERING AND INFORMATION TECHNOLOGIES;15
6.1.5;5. SYSTEMS ENGINEERING AND HUMAN FACTORS TECHNOLOGIES;16
6.1.6;6. SYSTEMS ENGINEERING IN ENVIRONMENTAL AND SOCIETAL CONTEXTS.;17
6.1.7;7. INTEGRATED SYSTEMS DEVELOPMENT AND EVALUATION;18
6.1.8;8. CONCLUSIONS;20
6.1.9;9. REFERENCES;21
6.2;CHAPTER 2. HUMAN A N D ORGANIZATIONAL INTERACTIONS IN COMPLEX SYSTEMS;22
6.2.1;1. INTRODUCTION;22
6.2.2;2. ORGANIZATIONAL LEARNING;23
6.2.3;3. PLANNING AND LEADERSHIP;27
6.2.4;4. Human and Organtzfltinnfll Error;30
6.2.5;5. References;33
6.3;CHAPTER 3. KNOWLEDGE ENGINEERING IN POWER PLANT CONTROL A N D OPERATION;34
6.3.1;1. INTRODUCTION;34
6.3.2;2. A HISTORICAL TREND OF AI TECHNOLOGY;35
6.3.3;3. A PLANT AUTOMATION ES;36
6.3.4;4. A TURBINE VIBRATION DIAGNOSTIC ES;37
6.3.5;5. HUMAN OPERATOR AND AI;39
6.3.6;6. CONCLUSION;40
6.3.7;REFERENCE;45
7;PART II: DISCUSSION SESSION I;46
7.1;CHAPTER 4. The Early Development Systems Life Cycle;46
7.1.1;General Overview;46
7.1.2;Highlights of Initial Presentations;47
7.1.3;Highlights of Discussion;50
8;PART III: LARGE-SCALE SYSTEMS;52
8.1;CHAPTER 5. DECENTRALIZED ADAPTIVE CONTROL FOR LARGE SCALE SYSTEMS WITH REFERENCE MODEL;52
8.1.1;1. INTRODUCTION;52
8.1.2;2. PROBLEM FORMULATION;52
8.1.3;3. MAIN RESULT;53
8.1.4;4. EXAMPLE;55
8.1.5;5. REFERENCES;56
8.2;CHAPTER 6. PREDICTIVE CONTROL DESIGN FOR LARGE SCALE SYSTEMS;58
8.2.1;1. INTRODUCTION;58
8.2.2;2. SYSTEM DESCRIPTION;59
8.2.3;3. STATE-SPACE GPC;61
8.2.4;4 POWER SYSTEM FREQUENCY STABILISATION;63
8.2.5;5. CONCLUSIONS;63
8.2.6;REFERENCES;63
8.3;CHAPTER 7. REAL TIME COORDINATION IN MULTILEVEL SYSTEMS;64
8.3.1;1. INTRODUCTION;64
8.3.2;2 . ONE STEP COORDINATION;64
8.3.3;3 . GLOBAL OPTIMIZATION PROBLEM;65
8.3.4;4. ASSESSMENTS OF x(.) AND H(. ) APPROXIMATION;66
8.3.5;5. GLOBAL PROBLEM APPROXIMATION;67
8.3.6;6. ANALYTICAL EXAMPLE;68
8.3.7;7. REFERENCES;69
8.4;CHAPTER 8. PROBLEMS OF INTEGRATION FOR LARGE SCALE SYSTEMS;70
8.4.1;1 Introduction;70
8.4.2;2 The thermoelectric power plant;70
8.4.3;3 Problems of integration;72
8.4.4;4 Some solutions;74
8.4.5;5 Concluding remarks;75
8.4.6;REFERENCES;75
8.5;CHAPTER 9. INFORMATION SYSTEMS EVALUATION AND EFFECTIVENESS;76
8.5.1;1. GENERAL ASPECTS OF INFORMATION SYSTEMS EVALUATION;76
8.5.2;2. CRITERIA FOR I.S's EVALUATION;77
8.5.3;3. QUALITATIVE AND QUANTITATIVE MEASUREMENTS FOR I.S's EVALUATION;79
8.5.4;4.I.S's RELIABILITY, OPERATIONAL AVAILABILITY AND EFFECTIVENESS;80
8.5.5;5. REFERENCES;81
8.6;CHAPTER 10. The control of firmly chained conveyor systems by decentralized intelligences;82
8.6.1;1. Introduction;82
8.6.2;2. Hierarchical model;83
8.6.3;3. Structure;84
8.6.4;4. Communication;84
8.6.5;5. Software development;84
8.6.6;6. Prospects;86
8.6.7;7. References;86
9;PART IV: COMPUTER AIDED SYSTEMS ANALYSIS AND DESIGN;88
9.1;CHAPTER 11. INTEGRATED DESIGN FOR RESEARCH ORIENTED SYSTEMS:THE SOFTWARE BOTTLENECK;88
9.1.1;1. INTRODUCTION;88
9.1.2;2. SOFTWARE;89
9.1.3;3. AUTOMATIC PROGRAMMING;90
9.1.4;4. MAN-MACHINE INTERFACES;91
9.1.5;5. CONCLUSION;92
9.2;CHAPTER 12. INTEGRATED MODELING , SIMULATION, AND OPTIMIZATION OF MULTIBODY SYSTEMS;94
9.2.1;1. INTRODUCTION;94
9.2.2;2. INTEGRATED DESIGN APPROACH;94
9.2.3;3. SOFTWARE CONCEPT;95
9.2.4;4. MULTIBODY SYSTEM DESIGN;97
9.2.5;5. CONCLUSIONS;98
9.2.6;6. REFERENCES;99
10;PART V: CASE STUDY: APPLIED MULTIDISCIPLINARY DYNAMICS DESIGN EXPERIMENTING;100
10.1;CHAPTER 13. THE ANDECS FRAMEWORK FOR COMPUTATIONAL SYSTEM DYNAMICS INTEGRATION;100
10.1.1;1. INTRODUCTION;100
10.1.2;2. PARADIGMS FOR SYSTEM-DYNAMICS COMPUTATIONAL EXPERIMENTING;100
10.1.3;3. CONCLUSION;105
10.1.4;4. REFERENCES;105
10.2;CHAPTER 14. ANDECS COMPUTATIONAL EXPERIMENTING WITH THE IAVSD CAR-SUSPENSION BENCHMARK ILTIS;106
10.2.1;1. FIELD OF APPLICATION;106
10.2.2;2. APPLICATION TASK;106
10.2.3;3. SYSTEM MODELLING;107
10.2.4;4. DESIGN COMPROMISING;107
10.2.5;5. ANDECS IN USE;108
10.2.6;6. APPLICATION RESULTS;109
10.2.7;7. REFERENCES;109
10.3;CHAPTER 15. ANDECS ROBOT-TRAJECTORY OPTIMIZATION FOR STATE-CONSTRAINED TIME-OPTIMAL CONTROL AND MINIMUM POWER CONSUMPTION;112
10.3.1;1. FIELD OF APPLICATION;112
10.3.2;2. APPLICATION TASK;112
10.3.3;3. SYSTEM MODELING;113
10.3.4;4. DESIGN COMPROMISING;115
10.3.5;5. ANDECS IN USE;116
10.3.6;6. APPLICATION RESULTS;116
10.3.7;REFERENCES;116
10.4;CHAPTER 16. ANDECS-MULTICRITERIA OPTIMIZATION OF A FUZZYLOGIC CONTROLLER FOR AN AERO DYNAMICALLY UNSTABLE AIRCRAFT IN COMPARISON TO A LINEAR ROBUST CONTROL DESIGN;118
10.4.1;1 FIELD OF APPLICATION;118
10.4.2;2 APPLICATION TASK;118
10.4.3;3 SYSTEM MODELLING;119
10.4.4;4 DESIGN COMPROMISING;119
10.4.5;5 ANDECS IN USE;120
10.4.6;6 APPLICATION RESULTS;121
10.4.7;REFERENCES;123
10.5;CHAPTER 17. AN ANDECS-MATLAB MULTICRITERIA DESIGN FOR A MAGLEV VEHICLE COMPARING A 'CLASSICAL' AND A 'MODERN' CONTROL STRUCTURE;124
10.5.1;1. FIELD OF APPLICATION;124
10.5.2;2. APPLICATION TASK;124
10.5.3;3. SYSTEM MODELLING;125
10.5.4;4. DESIGN COMPROMISING;125
10.5.5;5. ANDECS IN USE;127
10.5.6;6. APPLICATION RESULTS;127
10.5.7;7. REFERENCES;128
11;PART VI: DESIGN METHODOLOGIES;130
11.1;CHAPTER 18. A CELLULAR PROCESS MODEL FOR COMPLEX SYSTEMS DEVELOPMENT;130
11.1.1;1 INTRODUCTION;130
11.1.2;2 PROCESS MODELS;130
11.1.3;3 THE ENGINEERING DESIGN PROCESS;131
11.1.4;4 ACELLULAR PROCESS MODEL;131
11.1.5;5 DISCUSSION;134
11.1.6;6 CONCLUSION;135
11.1.7;7 ACKNOWLEDGEMENTS;135
11.1.8;8 REFERENCES;135
11.2;CHAPTER 19. AN APPROACH TO CIPS FROM THE POINT OF VIEW OF SOFTWARE ENGINEERING;136
11.2.1;1. INTRODUCTION;136
11.2.2;2. BASIS FOR THE CIPS SOFTWARE DEVELOPMENT;137
11.2.3;3. DEFINITION OF THE PHASES IN THE DEVELOPMENT OF CIPS;137
11.2.4;4. APPROACH TO THE REALIZATION OF CONTROL SUBSYSTEM SOFTWARE;139
11.2.5;5. DEVELOPMENT ACTIVITIES RELATED TO THE CONTROL SUBSYSTEM SOFTWARE;139
11.2.6;6. OTHER ACTIVITIES;140
11.2.7;7. CONCLUSION;141
11.2.8;8. REFERENCES;141
12;PART VII: SYSTEMS ENGINEERING APPROACHES;142
12.1;CHAPTER 20. A SYSTEMS ENGINEERING APPROACH TO INFORMATION ARCHITECTURE DESIGN;142
12.1.1;1. INTRODUCTION;142
12.1.2;2. ANALYTICAL SYSTEMS ENGINEERING USING STRUCTURED ANALYSIS;143
12.1.3;3. INFORMATION ARCHITECTURES;146
12.1.4;4. OBJECT ORIENTED MODELING;148
12.1.5;5. THE COPERNICUS ARCHITECTURE;150
12.1.6;6. CONCLUSION;155
12.1.7;REFERENCES;155
12.2;CHAPTER 21. ARITHMETICAL LOGIC-A BRIDGE BETWEEN VARIOUS FIELDS OF SYSTEMS ENGINEERING;156
12.2.1;1. INTRODUCTION;156
12.2.2;2. DISCRETE-EVENT SYSTEMS;157
12.2.3;3. FUZZY LOGIC AND FUZZY CONTROL;158
12.2.4;4. ROBUST QUALITATIVE CONTROL;158
12.2.5;5. CONCLUSIONS;158
12.2.6;6. REFERENCES;159
12.3;CHAPTER 22. A POWERED HIP ORTHOSIS - AN INTEGRATED SYSTEMS APPROACH;160
12.3.1;1. LOWER LIMB ORTHOTICS;160
12.3.2;2. POWERING THE ORTHOSIS;161
12.3.3;3. THE NEXT STEPS;164
12.3.4;4. ACKNOWLEDGEMENTS;165
12.3.5;5. REFERENCES;165
13;PART VIII: INTELLIGENT SYSTEMS;166
13.1;CHAPTER 23. REPRESENTATION OF AN ORGANIZATION IN A MULTIAGENT WORLD.;166
13.1.1;1. INTRODUCTION;166
13.1.2;2. REPRESENTATION OF A MULTIAGENT WORLD;166
13.1.3;3. MULTIAGENT ORGANIZATIONS;169
13.1.4;4. CONCLUSION;171
13.1.5;5. REFERENCES;171
13.2;CHAPTER 24. Multidiscipllnary Task Knowledge Engineering;172
13.2.1;1. INTRODUCTION;172
13.2.2;2. STRUCTURISATION OF TASK KNOWLEDGE DOMAIN;173
13.2.3;3. UNIFIED APPROACH;174
13.2.4;4. PRACTICAL EXAMPLES;175
13.2.5;CONCLUSIONS;176
13.2.6;REFERENCES;176
13.3;CHAPTER 25. A KNOWLEDGE BASED ANALYTICAL CONTROLLER MODULE;178
13.3.1;1. INTRODUCTION;178
13.3.2;2. THE KNOWLEDGE BASED ANALYTICAL CONTROL ALGORITHM;179
13.3.3;3. APPLICATION EXPERIENCES WITH KBAC SOFTWARE MODULES;180
13.3.4;4. A MICROELECTRONIC KBAC MODULE;181
13.3.5;5. REFERENCES;182
13.4;CHAPTER 26. TWO-LEVEL CONTROL OF MULTTVARIABLE FUZZY SYSTEMS;184
13.4.1;1. INTRODUCTION;184
13.4.2;2. PROBLEM STATEMENT;184
13.4.3;3. BASIC TERMS AND DEFINITIONS;185
13.4.4;4. METHOD OF HIERARCHICAL CONTROL;185
13.4.5;5. APPLICATION TO URBAN TRAFFIC;186
13.4.6;6. CONCLUSIONS;188
13.4.7;7. ACKNOWLEDGEMENT;188
13.4.8;8. REFERENCES;188
13.5;CHAPTER 27. CONTROL SYSTEM DESIGN USING MODEL-BASED AND RULEBASED TECHNIQUES - AN INTEGRATED APPROACH;190
13.5.1;1. INTRODUCTION;190
13.5.2;2. SELF-TUNING CONTROL;190
13.5.3;3. FUZZY CONTROL;192
13.5.4;4. COMBINED RULE-BASED AND MODELBASED CONTROL;192
13.5.5;5. ADAPTIVE FUZZY RULE-BASE;193
13.5.6;6. SIMULATION/REAL-TIME STUDIES;193
13.5.7;7. CONCLUSION;193
13.5.8;8. REFERENCES;194
14;PART IX: SAFETY;196
14.1;CHAPTER 28. SITUATION-ADAPTIVE DEGREE OF AUTOMATION IN MAN-MACHINE SYSTEMS: THEORETICAL AND EXPERIMENTAL VALIDATIONS;196
14.1.1;1. INTRODUCTION;196
14.1.2;2. SITUATION-ADAPTIVE RESPONSIBILITY ALLOCATION: THEORETICAL ANALYSIS;196
14.1.3;3. SITUATION-ADAPTIVE RESPONSIBILITY ALLOCATION: EXPERIMENTAL ANALYSIS;198
14.1.4;4. CONCLUDING REMARKS;201
14.1.5;ACKNOWLEDGMENTS;201
14.1.6;REFERENCES;201
14.2;CHAPTER 29. KNOWLEDGE ACQUISITION AND CASE-BASED REASONING FOR A CASE-BASED INCIDENT DIAGNOSIS AND SOLVING SYSTEM;202
14.2.1;1. INTRODUCTION;202
14.2.2;2. DOMAIN CONTEXT;202
14.2.3;3. METHODOLOGICAL APPROACH;203
14.2.4;4. KNOWLEDGE MODELING;203
14.2.5;5. CASE-BASED REASONING;205
14.2.6;6. CONCLUSION;207
14.2.7;7. REFERENCES;207
15;PART X: DECISION SUPPORT SYSTEMS;208
15.1;CHAPTER 30. NEURAL NETS: ANOTHER PARADIGM FOR DECISION SUPPORTTHE COMPREHENSIVE EVALUATION OF CHINESE LARGE CITIES;208
15.1.1;1. INTRODUCTION;208
15.1.2;2. THE TRADITIONAL KB-CEDSS;209
15.1.3;3. ARTIFICIAL NEURAL NETWORKS;210
15.1.4;4. ILLUSTRATION EXAMPLES;212
15.1.5;5. CONCLUSION;213
15.1.6;6. REFERENCES;213
15.2;CHAPTER 31. INTEGRATION LEVELS IN GENERIC PROTOTYPING APPROACH;214
15.2.1;1. INTRODUCTION;214
15.2.2;2. GPA-AN OVERVIEW;215
15.2.3;3. GPA INTEGRATION FRAMEWORK;217
15.2.4;4.ACASE STUDY;218
15.2.5;5. CONCLUSIONS;219
15.2.6;6. REFERENCES;219
16;PART XI: NATURAL SYSTEMS AND STABILITY;220
16.1;CHAPTER 32. The Transition to Chaos in the SCX Model of International;220
16.1.1;1. Description of the SCX model;220
16.1.2;2. Chaos indicators and attractors;221
16.1.3;3. How to cope with chaos?;224
16.1.4;4. References;225
16.2;CHAPTER 33. DECISION MAKING BY OIL COMPANY UNDER CONDITIONS OF ECONOMIC INSTABILITY;226
16.2.1;1. INTRODUCTION;226
16.2.2;2. SYSTEM CONCEPTUAL MODEL;226
16.2.3;3. DECISION SPACE REDUCTION;227
16.2.4;4. SYSTEM REALIZATION;227
16.2.5;5. OIL-FIELD AUTOMATION PROVISION MODEL;228
16.2.6;6. CURRENCY QUOTATIONS FORECAST;229
16.2.7;7. CONCLUSION;229
16.2.8;8. REFERENCES;229
17;PART XII: MODELLING DYNAMIC SYSTEMS;230
17.1;CHAPTER 34. SIMPLIFICATION OF STOCHASTIC PETRI NETS USING A DECOUPLING METHOD.;230
17.1.1;1. INTRODUCTION;230
17.1.2;2. RELATIONSHIP BETWEEN THE TWO MODELING FORMS.;230
17.1.3;3. SINGULAR PERTURBATIONS.;233
17.1.4;4. APPLICATION;233
17.1.5;5. REFERENCES.;235
17.2;CHAPTER 35. DESIGN OF A COMPUTER AIDED TELEOPERATION PLAN IN THE PRESENCE OF UNCERTAINTIES;236
17.2.1;1. INTRODUCTION;236
17.2.2;2. DESIGN OF THE CAT PLAN;237
17.2.3;3. PERFORMANCE EVALUATION;239
17.2.4;4. PERFORMANCE EXAMPLES;239
17.2.5;5. CONCLUSION;240
17.2.6;6. REFERENCES;241
17.3;CHAPTER 36. SIMULATION MODEL FOR EVALUATION OF DEREGULATION EFFECTS IN ELECTRIC POWER SYSTEM;242
17.3.1;1. INTRODUCTION;242
17.3.2;2. OUTLINE OF DEREGULATED POWER SYSTEM;243
17.3.3;3. SIMULATION MODEL OF DEREGULATED POWER SYSTEM;243
17.3.4;4. SIMULATION RESULTS AND SOME COMMENTS;245
17.3.5;5. CONCLUDING REMARKS;247
17.3.6;6. REFERENCES;247
18;PART XIII: MAN-MACHINE SYSTEMS;248
18.1;CHAPTER 37. HUMAN INTERFACE DESIGN FOR HIGHLY AUTOMATED POWER GENERATING PLANTS;248
18.1.1;1. INTRODUCTION;248
18.1.2;2. DEFINITION OF HUMAN, COMPUTER, AND MACHINE;248
18.1.3;3. HUMAN-COMPUTER INTERACTION IN HIGHLY AUTOMATED SYSTEMS;249
18.1.4;4. FUNCTIONAL REQUIREMENTS OF "COMPUTER";249
18.1.5;5. DESIGN PRINCIPLE OF HUMAN INTERFACE;250
18.1.6;6. IMPLICATIONS FOR DESIGN OF PROCESS INFORMATION NAVIGATOR;251
18.1.7;7. CONCLUSION;253
18.1.8;REFERENCE;253
18.2;CHAPTER 38. CONCEPTUAL DESIGN OF MUTUAL ADAPTIVE INTERFACE;254
18.2.1;1. INTRODUCTION;254
18.2.2;2. BASIC CONCEPT OF MADI;254
18.2.3;3. A BASIC LABORATORY EXPERIMENT;257
18.2.4;4. CONCLUDION;259
18.2.5;5. REFERENCES;259
18.3;CHAPTER 39. LEARNING MANUALS;260
18.3.1;1. INTRODUCTION;260
18.3.2;2. PROBLEMS OF HUMAN DIAGNOSTICIANS;260
18.3.3;3. CO-OPERATIVE SUPPORT;261
18.3.4;4. FAULT DIAGNOSIS MECHANISMS;261
18.3.5;5. SYMBOLIC PROBABILITIES FOR SYMPTOMS;262
18.3.6;6. DIFFERENT MODES FOR SEARCHING;262
18.3.7;7. NEURAL NETWORK APPROACH;262
18.3.8;8. STRUCTURE OF NEURAL NETWORK EXPERIMENTS;263
18.3.9;9. RESULTS OF THE NEURAL NETWORK EXPERIMENTS;263
18.3.10;10. CO-OPERATION BETWEEN HYPERTEXT AND NEURAL NETWORK;263
18.3.11;11. APPLICATIONS;264
18.3.12;12. CONCLUSION;264
18.3.13;13. ACKNOWLEDGEMENTS;264
18.3.14;14. REFERENCES;264
18.4;CHAPTER 40. KEEPING JOBS FOR SEMI-SKILLED WORKERS BY INTRODUCING SUPERVISED LEARNING IMAGE PROCESSING SYSTEMS;266
18.4.1;1. INTRODUCTION;266
18.4.2;2. SYSTEM OUTLINE;267
18.4.3;3. THE MAN-MACHINE INTERFACE;269
18.4.4;4. REFERENCES;271
19;PART IXV: RE-DEFINING THE ROLES OF HUMAN OPERATORS;272
19.1;CHAPTER 41. DESIGNING CNC-MACHINE TOOLS TO FIT THE SKILLED WORKERS AT THE INDIVIDUAL WORKPLACE AND IN GROUP WORK;272
19.1.1;1. INTRODUCTION;272
19.1.2;2. DEVELOPING HUMAN-CENTRED CNC;273
19.1.3;3. A THEORY OF MENTAL MODELS;274
19.1.4;4. A METHODOLOGY FOR DESIGN;275
19.1.5;5. FINAL REMARKS;277
19.1.6;6. REFERENCES;277
19.2;CHAPTER 42. NEW FORMS OF ORGANIZATION IN HIGHLY AUTOMATED SYSTEMS;278
19.2.1;1. INTRODUCTION;278
19.2.2;2. CONSEQUENCES OF THE ENGINEERING PROGRESS;278
19.2.3;3. EXAMPLE;279
19.2.4;4. EXPERIENCES;280
19.2.5;5. CONCLUSION;280
19.2.6;6. REFERENCES;281
19.3;CHAPTER 43. HUMAN-PROCESS-COMMUNICATION AND ITS APPLICATION IN PROCESS INDUSTRY;282
19.3.1;1. INTRODUCTION;282
19.3.2;2. HUMAN-PROCESS-COMMUNICATION THE HUMAN ROLE AND DEMANDS;282
19.3.3;3. METHODS AND CONCEPTS;282
19.3.4;4. SYSTEM AND DESIGN REQUIREMENTS OF HUMAN-PROCESS-COMMUNICATION;284
19.3.5;5. SUMMARY;284
19.3.6;6. REFERENCES;284
19.4;CHAPTER 44. NEW APPROACHES IN HUMAN-ORIENTED CNC-CAD-CAM: MACHINE TOOL CONTROL AND FACTORY-WIDE INTEGRATION;286
19.4.1;1. INTRODUCTION;286
19.4.2;2. CONFIGURABLE USER INTERFACE;286
19.4.3;3. PROCESS OBSERVATION AND CONTROL ON NC MACHINE TOOLS;288
19.4.4;4. CONCLUSION;291
19.4.5;5. REFERENCES;291
20;PART XV: MANUFACTURING SYSTEMS;292
20.1;CHAPTER 45. POSITION OF MANMACHINE IN TERFACE IN MANUFACTURING SYSTEMS ARCHITECTURES;292
20.1.1;1. INTRODUCTION;292
20.1.2;2. PRESENTATION OF THE MMIS;292
20.1.3;3. NATURE OF THE EXCHANGES;293
20.1.4;4. A NEW MMI COMMUNICATION ARCHITECTURE;295
20.1.5;5. OPERATIVE ARCHITECTURES;295
20.1.6;6. THE ABIWIN EXPERIMENT;296
20.1.7;7. CONCLUSION;297
20.1.8;8. REFERENCES;297
20.2;CHAPTER 46. ANALYSIS AND PERFORMANCE EVALUATION OF COLOURED PETRI NETS BY MEANS OF DISTRIBUTED SIMULATION;298
20.2.1;1. INTRODUCTION;298
20.2.2;2. BASIC DEFINITIONS OF COLOURED PETRINETS;299
20.2.3;3. DECOMPOSTION OF COLOURED PETRI NETS;299
20.2.4;4. ANALYSIS OF COLOURED PETRI NETS;300
20.2.5;5. SIMULATION ALGORITHM;300
20.2.6;6. ANALYSIS BY DISTRIBUTED SIMULATION;301
20.2.7;7. CONCLUSION;301
20.2.8;8. REFERENCES;301
21;PART XVI: ROBOTICS;304
21.1;CHAPTER 47. AUTOMATIC ASSEMBLY TASK ASSIGNMENT FOR A MULTTROROT ENVIRONMENT;304
21.1.1;1. INTRODUCTION;304
21.1.2;2. PROBLEM STATEMENT;305
21.1.3;3. ALGORITHM DESCRIPTION;305
21.1.4;4. RESULTS;308
21.1.5;5. CONCLUSIONS;309
21.1.6;6. ACKNOWLEDGMENT;309
21.1.7;7. REFERENCES;309
21.2;CHAPTER 48. AN OPTIMISATION-BASED ALGORITHM FOR DESIGNING FREE-FORM TRAJECTORIES UNDER VARIOUS CONSTRAINTS;310
21.2.1;1. INTRODUCTION;310
21.2.2;2. FORMULATION OF CUBIC POLYNOMIAL JOINT TRAJECTORIES;311
21.2.3;3. OPTIMISATION APPROACH;312
21.2.4;4. EXAMPLES;314
21.2.5;5. CONCLUSION;315
21.2.6;6. REFERENCES;315
21.3;CHAPTER 49. OPTIMIZATION OF TRAJECTORIES FOR INDUSTRIAL ROBOTS USING MATHEMATICA;316
21.3.1;1. INTRODUCTION;316
21.3.2;2. MODELS FOR INDUSTRIAL ROBOTS;317
21.3.3;3. PROBLEM STATEMENT;318
21.3.4;4. IMPLEMENTATION;319
21.3.5;5. RESULTS;319
21.3.6;6. CONCLUSION;320
21.3.7;7. REFERENCES;321
22;PART XVII: PLANNING;322
22.1;CHAPTER 50. MANUFACTURING PROCESS PLANNING USING OBJECT ORIENTED PETRI NETS SUPPORTED BY ENTROPY BASED FUZZY REASONING;322
22.1.1;1. INTRODUCTION;322
22.1.2;2. DECISIVE MANUFACTURING PROCESS PLANNING;322
22.1.3;3. APPROACH TO MANUFACTURING PROCESS PLANNING;323
22.1.4;4. PROBLEM SOLVING PROCEDURES;324
22.1.5;5. HANDLING O F UNCERTAINTIES;326
22.1.6;6. CONCLUSIONS;327
22.1.7;7. REFERENCES;327
22.2;CHAPTER 51. Transportation Integrated Planning and Control;328
22.2.1;1. Introduction;328
22.2.2;2. State of the art;328
22.2.3;3. Motivation;329
22.2.4;4. Concurrent planning and control;330
22.2.5;5. Advantages;330
22.2.6;6. Installation;331
22.2.7;7. Prospects;331
23;PART XVIII: TRANSPORTATION;332
23.1;CHAPTER 52. Dual Design of Computer-based Air Traffic Control Systems;332
23.1.1;1. Introduction;332
23.1.2;2. Dual Design Approach as a concept of interdisziplinary design of human-machine Systems;333
23.1.3;3. The design of ground-air communication;334
23.1.4;4. Design of the tactical planning;335
23.1.5;5. Conclusion;336
23.1.6;6. References;336
23.2;CHAPTER 53. EXPERIMENTS ON AIR TRAFFIC CONTROLLER'S REPRESENTATION AS APPROACH TO MMS-DESIGN;338
23.2.1;1. INTRODUCTION;338
23.2.2;2. MENTAL MODELS;338
23.2.3;3. PRIMING EXPERIMENT;340
23.2.4;4. IMPLICATIONS ON MMS-DES1GN IN ATC;342
23.2.5;5. SUMMARY;343
23.2.6;6. ACKNOWLEDGEMENTS;343
23.2.7;7. REFERENCES;343
23.3;CHAPTER 54. FLIGHT SIMULATION FACILITIES IN EUROPE;344
23.3.1;1. INTRODUCTION;344
23.3.2;2. INVESTIGATION PROCEDURE;344
23.3.3;3. FLIGHT SIMULATION APPLICATION AREAS;344
23.3.4;4. COMPONENTS OF FLIGHT SIMULATORS;345
23.3.5;5. RESEARCH REQUIREMENTS;347
23.3.6;6. EXPERIMENT SUPERVISION AND EVALUATION;348
23.3.7;7. TECHNICAL DATA OF SOME FLIGHT SIMULATION FACILITIES IN WESTERN EUROPE;348
23.3.8;8. REFERENCES;348
23.4;CHAPTER 55. DESIGN AND EVALUATION OF CONTROL POSTS IN MODERN TRANSPORT SYSTEMS : ATTEMPS FOR METHODOLOGY AND TOOLS;350
23.4.1;1. INTRODUCTION;350
23.4.2;2. METHODOLOGY OF DESIGN AND EVALUATION OF INTEGRATED SYSTEMS;351
23.4.3;3. PROBLEMATIC OF CONTROL POSTS IN MODERN TRANSPORTS;352
23.4.4;4. THE CAR DRIVING CASE : METHODOLOGY TO EVALUATE INTEGRATED SYSTEMS AND EXPERIMENTS;352
23.4.5;5. CONCLUSION;355
23.4.6;6. REFERENCES;355
24;PART IXXAUTOMATION IN COMMERCIAL AVIATION;356
24.1;CHAPTER 56. AN AIRLINE PERSPECTIVE: USER EXPERIENCE AND USER REQUIREMENTS;356
24.1.1;1. OVERVIEW;356
24.1.2;2. STATE OF THE ART;357
24.1.3;3. PROBABILITY CONSIDERATIONS;358
24.1.4;4. USER REQUIREMENTS OUT OF USER EXPERIENCE;358
24.1.5;5. CONCLUSION;359
24.1.6;6. REFERENCES;360
24.2;CHAPTER 57. FLIGHT DECK AUTOMATION AND ITS IMPLICATIONS FOR GLASSCOCKPIT TRAINING;362
24.2.1;1. Mental Preparation: It's really a New Generation Aircraft;362
24.2.2;2. Different Training/Teaching Approach;362
24.2.3;3. Practical Implications/Solutions;363
24.2.4;4. Demands; Design;364
24.2.5;5. Demands: Operation;366
24.2.6;6. Future Developments;367
24.2.7;7. Acknowledgements;367
24.2.8;REFERENCES;368
24.3;CHAPTER 58. AUTOMATION AND ATC IMPROVEMENT - SOME POSSIBLE SOLUTIONS;370
24.3.1;1. INTRODUCTION;370
24.3.2;2. POTENTIAL BENEFITS OF FLOW MANAGEMENT;371
24.3.3;3. POTENTIAL BENEFITS OF MEDIUM TERM PLANNING;373
24.3.4;4. SUMMARY AND CONCLUSIONS;374
24.3.5;5. REFERENCES;374
24.4;CHAPTER 59. DESIGNING FOR SITUATION AWARENESS AND TRUST IN AUTOMATION;376
24.4.1;1. INTRODUCTION;376
24.4.2;2. OVERVIEW OF AUTOMATION;376
24.4.3;3. AUTOMATION-INDUCED PROBLEMS;377
24.4.4;4. SOLUTIONS;380
24.4.5;5. ACKNOWLEDGMENTS;380
24.4.6;6. REFERENCES;380
25;PART XX: DISCUSSION SESSION II;382
25.1;CHAPTER 60. SUMMARY OF PANEL DISCUSSION: AUTOMATION IN COMMERCIAL AVIATION;382
25.1.1;1. Brief summary of the paper session of the same title of the previous day fas presented by C. Wickens);382
25.1.2;2. Discussion of the objectives of automation and ways to implement it;382
25.1.3;3. Identification of challenges regarding corresponding aviation Human Factors actvities in Europe;385
25.1.4;4. Challenges for aviation Human Factors in Europe;386
25.1.5;5. Short-term actions;387
26;PART XXI: INDUSTRIAL SYSTEMS ENGINEERING;388
26.1;CHAPTER 61. FUZZY CONTROL ALGORITHMS IMPLEMENTATION FOR A SYNCHRONOUS GENERATOR CONNECTED TO A POWER SYSTEM;388
26.1.1;1. INTRODUCTION;388
26.1.2;2. THE CONTROLLED PLANT AND THE CONTROL STRUCTURE;389
26.1.3;3. THE CLASSICAL DESIGN OF THE SPEED AND VOLTAGE CONTROLLERS;391
26.1.4;4. THE DESIGN OF THE FUZZY SPEED AND VOLTAGE CONTROLLERS;393
26.1.5;5. CONCLUSIONS;396
26.1.6;6. REFERENCES;397
26.2;CHAPTER 62. RECIPE INITIALIZATION FOR A BATCH PROCESS;398
26.2.1;1. INTRODUCTION;398
26.2.2;2. MODEL-BASED FLEXIBLE RECIPE;398
26.2.3;3. RECIPE INITIALIZATION;399
26.2.4;4. IMPROVEMENT OF AN EPOXIDE RESIN PRODUCTION PROCESS;400
26.2.5;5. INITIALIZATION OF EPOXIDE RESIN PRODUCTION;401
26.2.6;6. FINAL REMARKS;401
26.2.7;7. REFERENCES;402
26.3;CHAPTER 63. Sensory Feedback for Industrial Robots - Based on a Distributed System;404
26.3.1;1. INTRODUCTION;404
26.3.2;2. REQUIREMENTS OF SENSOR DATA INTEGRATION;404
26.3.3;3. DESIGN OF A SYSTEM FOR SENSOR DATA PROCESSING;405
26.3.4;4. STRUCTURE AND TASKS OF THE TRANSPUTER SYSTEM;406
26.3.5;5. PARALLEL PROCESSING AND DISTRIBUTION;406
26.3.6;6. CONCLUSION;409
26.3.7;7. REFERENCES;409
26.4;CHAPTER 64. UTILIZATION OF A HIERARCHICAL CONTROL SYSTEM IN A ROBOT-BASED FLEXIBLE ASSEMBLY CELL;410
26.4.1;1. INTRODUCTION;410
26.4.2;2. THE FLEXIBLE ASSEMBLY WORK CELL;410
26.4.3;3. HIERARCHICAL CONTROL STRUCTURE;412
26.4.4;4. THE FLEXIBLE WORK CELL CONTROLLER;413
26.4.5;5. ONLINE OPTIMIZATION OF ASSEMBLY PROCESSES;414
26.4.6;6. CONCLUSION;415
26.4.7;7. REFERENCES;415
26.5;CHAPTER 65. Distributed Complete Non Linear State Reconstruction Observer for Gas Turbines in a CGS-Power Station;416
26.5.1;1. INTRODUCTION;416
26.5.2;2.0 THE DISTRIBUTED AND COMPLETE NON LINEAR STATE OBSERVER FOR THE STATIONARY GAS TURBINE;416
26.5.3;3. VERIFICATION RESULTS;420
26.5.4;4. ACKNOWLEDGMENT;420
26.5.5;6. REFERENCES;420
26.6;CHAPTER 66. ASSOCIATING DISCRETE PART MANUFACTURING SYSTEMS SEMANTICS TO SADT BY MEANS OF PETRI NETS;422
26.6.1;l. INTRODUCTION;422
26.6.2;2. INTEGRATION APPROACHES;422
26.6.3;3. MAPPING SADT INTO PETRI NETS;423
26.6.4;4. A SIMPLE EXAMPLE;425
26.6.5;5. CONCLUSIONS AND ONGOING WORK;426
26.6.6;6. REFERENCES;427
26.7;CHAPTER 67. INTEGRATION OF A SIMULATION MANAGER WITH OPTIMIZATION IN MANUFACTURING SIMULATION;428
26.7.1;1. INTRODUCTION;428
26.7.2;2. SIMULATION EXPERIMENT PLANNING;429
26.7.3;3. OPTIMIZATION IN SIMULATION;430
26.7.4;4. OPTIMIZATION ALGORITHMS;430
26.7.5;5. CONCEPT FOR THE SIMULATION MANAGER;431
26.7.6;6. APPLICATION FAS-SIMULATION;432
26.7.7;7. CONCLUSION;433
26.7.8;8. REFERENCES;433
26.8;CHAPTER 68. DISTRIBUTION OF INTELLIGENT AUTOMATED PRODUCTION SYSTEM - A CLUSTERING APPROACH;434
26.8.1;1. INTRODUCTION;434
26.8.2;2. THE REAL TIME PROCESS OPERATING SYSTEM;434
26.8.3;4 ILLUSTRATION;436
26.8.4;5 CONCLUSION;438
26.8.5;REFERENCES;438
26.9;CHAPTER 69. MODEL REFERENCE ADAPTIVE ESTIMATION APPLIED TO A BIOPROCESS;440
26.9.1;1. INTRODUCTION;440
26.9.2;2. PROCESS ANALYSIS AND MODELLING;440
26.9.3;3. ADAPTIVE ESTIMATION;441
26.9.4;4. APPLICATION TO REAL PROCESS DATA;443
26.9.5;5. CONCLUSION;444
26.9.6;6. REFERENCES;444
27;PART XXII: CLOSING DISCUSSION SESSION;446
27.1;CHAPTER 70. ON INTEGRATED SYSTEMS ENGINEERING - A SYNOPSIS;446
27.1.1;INTRODUCTION;446
27.1.2;COMMENTS BY K. KAWAI;446
27.1.3;COMMENTS BY A.H. LEVIS;446
27.1.4;COMMENTS BY G. MANCINI;447
27.1.5;FINAL DISCUSSION;448
28;AUTHOR INDEX;450