Yang Jiachi Control Science & Technology For Development (CSTD'85)

Proceedings of the IFAC/IFORS Symposium, Beijing, People's Republic of China, 20-22 August 1985
1. Auflage 2014
ISBN: 978-1-4832-9837-5
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 439 Seiten, Web PDF

Reihe: IFAC Symposia Series

Provides a detailed analysis of the recent developments and practical applications of automatic control. Of particular interest are control problems related to power systems, water supply systems, pollution, industrial processes, energy economics and production management systems. Contains over 80 papers.

Autoren/Hrsg.

Yang Jiachi, Yang

Inhaltsverzeichnis

1;Front Cover;1
2;Control Science and Technology for Development(Cstd'85);4
3;Copyright Page;5
4;IFAC/IFORS Symposium on Control Science and Technology For Development;6
5;Foreword;7
6;Table of Contents;8
7;CHAPTER 1. SYSTEMS SCIENCE AND CHINA'S ECONOMIC REFORMS;12
7.1;I. POPULATION SYSTEM CONTROL;13
7.2;II. A RATIONAL PRICE SYSTEM;15
7.3;III. MACRO-CONTROLLED AND MICRO-ENLIVENED ECONOMY;17
7.4;REFERENCE;18
8;CHAPTER 2. NEW TRENDS IN SYSTEMS APPROACH BY THE INTERACTIVE USE OF MICROCOMPUTERS;20
8.1;INTRODUCTION;20
8.2;INTERACTIVE MODELING OF LARGE SCALE SYSTEMS;20
8.3;MULTIPLE CRITERIA DECISION MAKING AND INTERACTIVE PROGRAMMING METHODS;22
8.4;GAMING SYSTEM FOR COMPLEX PROBLEMS;23
8.5;CONCLUDING REMARKS;24
8.6;REFERENCE;24
9;CHAPTER 3. ENGINEERING-ECONOMIC SYSTEMS: A PROBLEM-SOLVING DISCIPLINE;26
9.1;INTRODUCTION;26
9.2;PROBLEM-SOLVING THEME;26
9.3;THE CORE;27
9.4;DISCIPLINES OF STUDY;28
9.5;APPLICATIONS;28
9.6;THE INTERNSHIP;29
9.7;RESEARCH PROGRAMS;30
9.8;PROFESSION;30
9.9;REFERENCE;30
10;CHAPTER 4. SOME COMMON PROBLEMS IN CONTROL AND SIGNAL PROCESSING;32
10.1;INTRODUCTION;32
10.2;STABILITY;32
10.3;ESTIMATION;34
10.4;CONCLUSIONS;36
10.5;REFERENCES;36
11;CHAPTER 5. NEW TRENDS IN IDENTIFICATION;38
11.1;CONTENTS;38
11.2;1. INTRODUCTION;38
11.3;2. IDENTIFICATION PROTOCOL;38
11.4;3. MODEL REPRESENTATIONS;39
11.5;4. ESTIMATION METHODS;42
11.6;5. IDENTIFICATION TOOLS;43
11.7;6. IDENTIFICATION APPLICATIONS;44
11.8;7. EXPECTATIONS;44
11.9;8. CONCLUSIONS;44
11.10;REFERENCES;45
12;CHAPTER 6. METHODOLOGIES FOR DESIGNING EXPERT SYSTEM FOR INDUSTRIAL MANAGEMENT;48
12.1;INTRODUCTION;48
12.2;2 - PRODUCTION MANAGEMENT AND THE ASSOCIATED EXPERT SYSTEMS;48
12.3;3 - CONSTITUTION OF AN EXPERT SYSTEM;49
12.4;4 - EXPERT-SYSTEM DESIGN METHODOLOGY;52
12.5;5 - CONCLUSIONS;55
12.6;REFERENCES;55
13;CHAPTER 7. ADAPTIVE CONTROL IN CHEMICAL INDUSTRY;58
13.1;INTRODUCTION;58
13.2;MRAC OF A CATALYTIC FLUIDIZED BED REACTOR;58
13.3;ADAPTIVE CONTROL IN PHOSPHATE INDUSTRY;60
13.4;ADAPTIVE CONTROL OF DISTILLATION COLUMNS;60
13.5;CONCLUSION;64
13.6;REFERENCES;64
14;CHAPTER 8. FEEDBACK LINEAR ESTIMATION OF ARMA PROCESSES;66
14.1;INTRODUCTION;66
14.2;FLE FOUR STEP ALGORITHM;66
14.3;SIMULATIONS AND CONCLUSIONS;67
14.4;REFERENCES;68
15;CHAPTER 9. DIRECT IDENTIFICATION OF A CLASS OF NONLINEAR SYSTEMS/APPLICATION TO A NEUTRALIZATION PROCESS;70
15.1;ABSTRACT;70
15.2;KEYWORDS;70
15.3;INTRODUCTION;70
15.4;CONSTRUCTION OF A STATE-AFFINE MODEL USING SEVERAL LINEAR IDENTIFICATIONS (Normand-Cyrot and Dang Van Mien, 1980, Normand-Cyrot, 1978);70
15.5;DIRECT IDENTIFICATION OF STATE-AFFINE MODEL;71
15.6;APPLICATION TO A NEUTRALIZATION PROCESS;72
15.7;CONCLUSION;73
15.8;REFERENCES;73
16;CHAPTER 10. BILINEAR DYNAMICAL MODEL OF A TUBULAR FIXED-BED REACTOR;76
16.1;INTRODUCTION;76
16.2;DYNAMIC MODEL OF THE REACTOR;77
16.3;LUMPING USING OCM;77
16.4;BILINEAR MODEL;78
16.5;ORDER REDUCTION AND LINEAR APPROXIMATION;78
16.6;SIMULATION RESULTS AND VERIFICATION OF MODELS;79
16.7;CONCLUSION;80
16.8;REFERENCES;80
17;CHAPTER 11. IDENTIFICATION OF A PRESSURIZED WATER REACTOR STEAM GENERATOR BY STATE-SPACE MULTI-VARIABLE MODELS;82
17.1;INTRODUCTION;82
17.2;PROCESS DESCRIPTION;82
17.3;SG DYNAMICS - SOME CRITICAL ISSUES;83
17.4;SYSTEM CHARACTERIZATION AND INPUT/OUTPUT VARIABLES SPECIFICATIONS;83
17.5;IDENTIFICATION EXPERIMENT DESIGN;84
17.6;IDENTIFICATION METHODOLOGY;84
17.7;MODEL VALIDATION;85
17.8;ACKNOWLEDGEMENTS;85
17.9;REFERENCES;85
18;CHAPTER 12. MODELING AND CONTROL OF AUTOMATIC VEHICLE STEERING SYSTEM USING MICROPROCESSORS;88
18.1;INTRODUCTION;88
18.2;MODELLING OF STEERING SYSTEM;88
18.3;NONLINEAR MODEL;88
18.4;LINEAR MODEL;89
18.5;CONTROLLER DESIGN;89
18.6;OBSERVER DESIGN;90
18.7;EXPERIMENTAL MODEL;90
18.8;EXPERIMENTAL RESULTS;90
18.9;CONCLUSION;91
18.10;NOMENCLATURE;91
18.11;REFERENCES;91
19;CHAPTER 13. SELF-ADAPTIVE FORECAST AND CONTROL OF THE VOLUME OF PURCHASE TO FARM PRODUCTS AND SIDELINE PRODUCTS OF DEVELOPING COUNTRIES;94
19.1;INTRODUCTION;94
19.2;THE SELF-ADAPT I WE PREDICTION AND CONTROL METHOD OF FORECASTING PARAMETERS;94
19.3;THE MATHEMATICAL MODEL OF THE VOLUME OF PURCHASE TO FARM PRODUCTS AND SIDELINE PRODUCTS;95
19.4;EXAMPLE: THE FORECAST AND CONTROL OF THE VOLUME OF PURCHASE TO SHEEP'S UOOL;96
19.5;REFERENCES;98
20;CHAPTER 14. SPECTRAL ESTIMATION OF SPEECH CORRUPTED BY COLORED NOISE;100
20.1;INTRODUCTION;100
20.2;STATEMENT OF THE PROBLEM;100
20.3;ALGORITHMS FOR NOISE PROCESSING;101
20.4;ALGORITHM FOR SPEECH PROCESSING;102
20.5;EXPERIMENTAL RESULTS;103
20.6;CONCLUSIONS;105
20.7;REFERENCES;105
21;CHAPTER 15. INVERTIBILITY OF BILINEAR DISCRETE-TIME SYSTEMS;106
21.1;INTRODUCTION;106
21.2;INVERTIBILITY CONDITIONS;106
21.3;INVERSE SYSTEM;107
21.4;FUNCTIONAL REPRODUCIBILITY;108
21.5;CONCLUSIONS;108
21.6;REFERENCES;108
22;CHAPTER 16. A MULTIVARIABLE DECOUPLING POLE-ZERO PLACEMENT SELF-TUNING CONTROLLER;110
22.1;INTRODUCTION;110
22.2;OFFLINE CONTROLLER DESIGN;110
22.3;SELF-TUNING CONTROLLER;112
22.4;SIMULATION RESULTS;112
22.5;CONCLUSIONS;113
22.6;REFERENCES;113
23;CHAPTER 17. ADMISSIBLE DIFFERENCE CONTROL;116
23.1;FUNDAMENTAL CONCEPTS;116
23.2;MAJOR ADMISSIBLE DIFFERENCE DESIGN FOR THE OPTIMAL CONTROL;117
23.3;MAJOR ADMISSIBLE DIFFERENCE DESIGN FOR THE OPTIMAL CONTROL WITH CLOSED LOOP;119
23.4;OTHER USES OF THE DESIGN OF MAJOR ADMISSIBLE DIFFERENCE;120
23.5;ADDITIVE ADMISSIBLE DIFFERENCE CONTROL;120
23.6;REFERENCES;121
24;CHAPTER 18. A MICROCOMPUTER-BASED WAVE GENERATION SYSTEM;122
24.1;INTRODUCTION;122
24.2;RECURSIVE APPROACH IN FREQUENCY DOMAIN;122
24.3;SHAPING FILTER APPROACH;123
24.4;CONCLUSION;123
24.5;ACKNOWLEDGEMENTS;124
24.6;REFERENCES;124
25;CHAPTER 19. DYNAMICS AND CONTROL OF PAPER MACHINE;128
25.1;INTRODUCTION;128
25.2;MODELLING;128
25.3;CONTROLLER DESIGN;131
25.4;CONCLUSION;133
25.5;REFERENCES;133
26;CHAPTER 20. COMPUTER CONTROLLING FOR THE ESR PROCESS–AN APPLICATION OF MODERN CONTROL THEORY;136
26.1;DETERMINING THE STRUCTURE OF THE CONTROL SYSTEM;136
26.2;MODELLING OF THE CONTROL SYSTEM;137
26.3;DESIGNING OF THE OPTIMAL FEEDBACK CONTROL LAW;138
26.4;THE CONTROL EFFECT;139
26.5;CONCLUTIONS;140
26.6;REFERENCES;140
27;CHAPTER 21. MICROPROCESSOR BASED AUTOMATIC START UP SYSTEM FOR FLUIDIZED BED COMBUSTION PROCESS;142
27.1;INTRODUCTION;142
27.2;EXPERIMENTAL;142
27.3;START UP PROCEDURE;143
27.4;HARDWARE OF THE SYSTEM;143
27.5;RESULTS AND DISCUSSIONS;143
27.6;REFERENCES;143
28;CHAPTER 22. INTRINSIC SAFETY RULES OK;146
28.1;Abstract;146
28.2;Introduction;146
28.3;Associated equipment;147
28.4;The basic rules;147
28.5;Advantages;148
28.6;Certification;148
28.7;References;148
29;CHAPTER 23. ON AN ADAPTIVE MODEL FOLLOWING CONTROL SYSTEM FOR A PLANT WITH DEAD TIME;150
29.1;INTRODUCTION;150
29.2;AN ADAPTIVE MODEL FOLLOWING CONTROL SYSTEM USING THE INVERSE FUNCTION OF A MODEL AS A COMPENSATOR;150
29.3;REALIZATION OF A COMPENSATOR WITH INVERSE TRANSFER FUNCTION BY ADAPTIVE OBSERVER;152
29.4;APPLICATION FOR SYSTEM WITH DEAD TIME;153
29.5;CONCLUSION;155
29.6;REFERENCES;155
30;CHAPTER 24. HIGH-PRECISION, FAST-RESPONSE MICROCOMPUTER-BASED SPEED REGULATOR MSR-1;156
30.1;INTRODUCTION;156
30.2;SYSTEM ANALYSIS;156
30.3;HIGH-PRECISION FAST-RESPONSE DIGITA SPEED DETECTING UNIT;157
30.4;THE CONSTRUCTION AND OPERATION OF REGULATOR MSR-1;158
30.5;THE SYSTEM SOFTWARE DESIGN FOR REGULATOR MSR-1;158
30.6;CONCLUSIONS;159
30.7;ACKNOWLEDGEMENT;159
30.8;REFERENCES;159
31;CHAPTER 25. LINEARIZING CONTROL OF A CLASS OF NON-LINEAR CONTINUOUS PROCESSES;160
31.1;NON-LINEAR MODELLING OF CONTINUOUS INDUSTRIAL PROCESSES;160
31.2;LINEARIZING CONTROL LAW;160
31.3;WEAK CLOSED LOOP LINEARIZATION;162
31.4;APPLICATION TO A HYDRAULIC PILOT PLANT;162
31.5;CONCLUSION AND PROSPECTS;163
31.6;ACKNOWLEDGMENTS;163
31.7;REFERENCES;163
32;CHAPTER 26. MICROPROCESSOR-BASED FAILURE DETECTION OF HEAT PUMPS;166
32.1;INTRODUCTION;166
32.2;FAILURE DETECTION;166
32.3;MODEL VERIFICATION;167
32.4;STATE RECONSTRUCTION;168
32.5;CONCLUSION;168
32.6;REFERENCES;168
33;CHAPTER 27. TEMPERATURE SELF-TUNING CONTROL FOR A HEAT-VACUUM CABIN;172
33.1;1. INTRODUCTION;172
33.2;2. A NEW SELF-TUNING CONTROL ALGORITHM;172
33.3;3. MATHEMATICAL MODEL OF THE HEAT-VACUUM CABIN;174
33.4;4. DETERMINATION OF THE CONTROL;175
33.5;5.EXPERIMENT RESULT;176
33.6;6 . CONCLUSIONS;177
33.7;REFERENCES;177
34;CHAPTER 28. WHAT FACTORS AFFECT THE DYNAMICS OF HEAT EXCHANGERS?;180
34.1;1. INTRODUCTION;180
34.2;2. NOTATION;180
34.3;3 . A SIMPLE WALL–FLUID HEAT EXCHANGE PROCESS WITH DISTRIBUTED WALL TEMPERATURE AS THE MANIPULATED VARIABLE;180
34.4;4. BASIC EQUATIONS AND DEFINITION OF THE SPATIAL WEIGHTING FUNCTION OF PARALLEL- AND COUNTER FLOW HEAT EXCHANGERS WITH FLOW RATE MANIPULATION;181
34.5;5. INDEPENDENCY OF NON-DIMENSIONALIZED PARAMETERS;182
34.6;6. WHAT FACTORS GOVERN THE DYNAMIC PERFORMANCE OF COUNTERFLOW HEAT EXCHANGER ?;183
34.7;7. WHAT FACTORS GOVERN THE DYNAMIC PERFORMANCE OF PARALLELFLOW HEAT EXCHANGER ?;184
34.8;8. CONCLUSIONS;185
34.9;REFERENCES;185
34.10;APPENDIX B: CALCULATION OF OVERALL HEAT TRANSFER COEFFICIENT;185
35;CHAPTER 29. STABILIZING CONTROL OF HEAT EXCHANGERS;186
35.1;INTRODUCTION;186
35.2;MODELS OF PARALLEL FLOW TYPE HEAT EXCHANGERS;186
35.3;DESIGN OF PREDICTORS;188
35.4;CONCLUSION;191
35.5;REFERENCES;191
36;CHAPTER 30. TOOL BREAKAGE DETECTION IN TURNING USING A MULTI-SENSOR STRATEGY;192
36.1;NOMENCLATURE;192
36.2;INTRODUCTION;192
36.3;PHENOMENA AND DETECTION;193
36.4;EXPERIMENTAL SETUP AND PROCEDURES;193
36.5;TOOL BREAKAGE DETECTION STRATEGY;195
36.6;CONCLUSIONS;197
36.7;ACKNOWLEDGMENTS;197
36.8;REFERENCES;197
37;CHAPTER 31. CONTROL SYSTEMS OF COKELESS CUPOLA;198
37.1;INTRODUCTION;198
37.2;OPERATING PARAMETERS AND THE CONTROL SYSTEM;198
37.3;CONTROLLING INSTRUMENTS AND CONTROL SYSTEMS OF COKELESS CUPOLA;199
37.4;INDUSTRIAL APPLICATION OF COKELESS CUPOLA;202
37.5;CONCLUSION;202
37.6;REFERENCES;202
38;CHAPTER 32. PROFILE AND FULL-FACE PICTURE ANALYSIS
FOR AUTOMATIC RECOGNITION OF PEOPLE;204
38.1;GENERAL POINTS;204
38.2;BIBLIOGRAPHICAL STUDY;204
38.3;DESCRIPTION OF THE SYSTEM UNDER STUDY;204
38.4;PICTURE ANALYSIS;207
38.5;ANALYSIS OF THE FULL-FACE PHOTO;207
38.6;CONCLUSION;208
38.7;BIBLIOGRAPHY;208
39;CHAPTER 33. MINTEST-EXPERT SYSTEM FOR MINERAL IDENTIFICATION;210
39.1;1 . INTRODUCTION;210
39.2;2. ENUMERATION AND VALUE LIMITS OF MINERAL PROPERTIES;210
39.3;3. THE MINTEST PROGRAM-SYSTEM;211
39.4;4. THE IDENTIFICATION PROCESS USING THE MINTEST SYSTEM;212
39.5;5. CONCLUSION;213
39.6;ACKNOWLEDGEMENT;213
39.7;REFERENCES;213
40;CHAPTER 34. USER DATABASE SYSTEM GENERATION;214
40.1;INTRODUCTION;214
40.2;A TREELIKE PROBLEM;214
40.3;THE STRUCTURE OF GENERATED SYSTEMS;215
40.4;THE CHARACTERISTICS OF SYSTEM;215
40.5;CONCLUSIONS;216
40.6;REFERENCES;216
41;CHAPTER 35. A LINEAR ELECTRONIC CIRCUIT ANALYSIS PROGAM;218
41.1;I. INTRODUCTION;218
41.2;II. LEC ORGANIZATION AND USER GUIDE.;218
41.3;III. PRACTICAL CIRCUIT DESIGN USING LEC;220
41.4;IV. TECHNICAL INFORMATION OF LEC;221
41.5;V. CONCLUSION.;221
41.6;VI. REFERENCES.;221
42;CHAPTER 36. A CAD LANGUAGE FOR LINEAR CONTROL SYSTEMS;222
42.1;ABSTRACT;222
42.2;INTRODUCTION;222
42.3;STRUCTURE;222
42.4;EXAMPLES;223
42.5;HELP FACILITY;226
42.6;CONCLUSIONS;227
42.7;REFERENCES;227
43;CHAPTER 37. COMPUTER-AIDED DESIGN OF DECENTRALIZED REGULATORS FOR INDUSTRIAL PROCESSES;228
43.1;INTRODUCTION;228
43.2;AN ILLUSTRATIVE EXAMPLE: CONTROL OF A DISTILLATION COLUMN;229
43.3;CONCLUDING REMARKS;231
43.4;ACKNOWLEDGMENT;231
43.5;REFERENCES;231
44;CHAPTER 38. AN IMPROVED ALGORITHM FOR GENERALISING PSEUDODIAGONALISATION;234
44.1;INTRODUCTION;234
44.2;DESIGN EXAMPLES;236
44.3;CONCLUSION;237
44.4;REFERENCES;237
45;CHAPTER 39. 3D SURFACE DESIGN ON PROFESSIONAL PERSONAL COMPUTER;240
45.1;1 . INTRODUCTION;240
45.2;2. TRANSLATIONAL SURFACES;240
45.3;3. THE STRUCTURE OF THE 3D PROCESSOR;241
45.4;4. CONCLUSION;243
45.5;5. REFERENCES;243
46;CHAPTER 40. COMPUTER AIDED DESIGN OF HYDRAULIC SYSTEM;244
46.1;COMPUTER AIDED DESIGN OF HYDRAULIC TRANSMISSION SYSTEM;244
46.2;COMPUTER AIDED OPTIMIZATION DESIGN OP HYDRAULIC PROFILING GUTTER SADDLE;245
46.3;CONCLUSION;246
46.4;REFERENCE;247
47;CHAPTER 41. CAD FOR PNEUMATIC CIRCUIT DESIGN IN LOW COST AUTOMATION;248
47.1;INTRODUCTION;248
47.2;GENERAL DESCRIPTION;248
47.3;APPLICATION ORIENTED LANGUAGE;248
47.4;DEVICE A,B:BISTABLE, C:MONOSTABLE EXTERN D,E;248
47.5;LANGUAGE PROCESSOR;249
47.6;SWITCHING FUNCTION GENERATION;249
47.7;MEMORY DESIGNATION;249
47.8;FUNCTION MINIMIZATION;249
47.9;CIRCUIT CONSTRUCTION;250
47.10;APPLICATION EXAMPLE;250
47.11;CONCLUSION;251
47.12;ACKNOWLEDGEMENT;251
47.13;REFERENCES;251
48;CHAPTER 42. A DATA BASE MANAGEMENT FOR DIE CAD/CAM;252
48.1;INTRODUCTION;252
48.2;THE ORGANIZATION OF CADB;252
48.3;THE ACCESS METHODS;253
48.4;THE REPRESENTATION S OF DATA RELATIONSHIPS;253
48.5;THE COMPOSITION OF CADB;254
48.6;THE RUNNING OF THE SYSTEM;254
48.7;CONCLUSIONS;254
48.8;REFERENCES;255
49;CHAPTER 43. DESIGNING A RAILWAY STATION: THE DEVELOPMENT OF AN INTERACTIVE COMPUTER SYSTEM TO EVALUATE ALTERNATIVES;258
49.1;PROBLEM BACKGROUND;258
49.2;THE INITIAL STAGES OF THE PROJECT;259
49.3;COMPUTER SYSTEM OVERVIEW;260
49.4;THE SIMULATION MODEL;260
49.5;CONCLUSIONS;262
49.6;AKNOWLEDGEMENTS;262
49.7;REFERENCES;262
50;CHAPTER 44. AN LSI MASK ARTWORK VERIFICATION AND PROCESSING SYSTEM JC–81;264
50.1;INTRODUCTION;264
50.2;THE FEATURES OF JC-81;264
50.3;THE STRUCTURE OF JC-81;265
50.4;SOME MAIN ALGORITHMS;266
50.5;APPLICATION EXAMPLE;266
50.6;CONCLUSION;266
50.7;REFERENCE;266
51;CHAPTER 45. COMPUTER AIDED OPTIMIZATION OF MACHINING CONDITIONS;268
51.1;MODELLING;268
51.2;STRATEGY OF OPTIMIZATION IN CONSTRAINT;269
51.3;WIDESPREAD SEARCH;270
51.4;PARTIAL SEARCH;271
51.5;EXAMPLE;272
51.6;CONCLUSION;272
51.7;REFERENCES;273
52;CHAPTER 46. DIRECT SPLINE INTERPOLATION ON CNC-MACHINE TOOL;274
52.1;INTRODUCTION;274
52.2;THE PARAMETRIC SPLINE;275
52.3;NC-INPUT DATA FORMAT FOR SPLINE INTERPOLATION;275
52.4;THE CONFIGURATION OF THE SPLINE INTERPOLATION;276
52.5;REFERENCES;278
53;CHAPTER 47. THREE-DIMENSION AUTOMATIC TRACING SYSTEM FOR ROBOTIC GUIDANCE;280
53.1;INTRODUCTION;280
53.2;MICROCOMPUTER-CONTROLLED 3-D TRACING SYSTEM;281
53.3;PRINCIPLES OF RECURSIVE TRACING;281
53.4;CONTROL ALGORITHM OF 3-D TRACING SYSTEM AND SOFTWARE ORGANIZATION;282
53.5;ANALYSIS OF THE SYSTEM DYNAMICS;284
53.6;TEST RESULTS AND CONCLUSIONS;284
53.7;ACKNOWLEDGMENTS;285
53.8;REFERENCES;285
54;CHAPTER 48. COOPERATIVE CONTROL OF TWO MANIPULATORS;286
54.1;INTRODUCTION;286
54.2;TASK REPRESENTATION;286
54.3;A POSITION CONTROL METHOD;287
54.4;EXPERIMENTAL TASK;288
54.5;CONCLUSIONS;288
54.6;REFERENCES;289
55;CHAPTER 49. APPLICATION OF THREE-DIMENSIONAL STATE OBSERVERS IN THE MANIPULATOR;290
55.1;INTRODUCTION;290
55.2;SPEED CONTROL SYSTEM WITH PWM;290
55.3;REDUCED ORDER OBSERVERS;291
55.4;DESIGN FOR THE LOAD DISTURBANCE OBSERVER;292
55.5;DESIGN FOR INTEGRATING COMPONENT OUTPUT OBSERVER OF THE SPEED REGULATOR;292
55.6;COMPOSITE DESIGN OF THREE ORDER;292
55.7;COMPOSITE DESIGN OF THREE ORDER;292
55.8;TEST RESULTS;293
55.9;REFERENCES;293
56;CHAPTER 50. TRACKING CONTROLLER DESIGN FOR A ROBOTIC MANIPULATOR;296
56.1;INTRODUCTION;296
56.2;MODEL;296
56.3;CONTROLLER DESIGN;297
56.4;CONCLUSIONS;299
56.5;REFERENCE;299
57;CHAPTER 51. MATHEMATICAL MODEL OF SEQUENCING HYDROELECTRIC STATIONS IN CASCADED DEVELOPMENT OF A RIVER BASIN;300
57.1;INTRODUCTION;300
57.2;COST FLOW AND ELECTRIC POWER FLOW OF THE PLANNED ELECTRIC POWER STATIONS;300
57.3;BALANCE EQUATIONS OF SUPPLY AND DEMAND;301
57.4;OBJECTIVE FUNCTION AND NET-BENEFITS OF POWER STATIONS;301
57.5;CONSTRAINTS ON TOTAL COST FLOW PATTERN;302
57.6;CHANGE OF COST AMD OUTPUT POWER RESULTED SEQUENCING DECISION;302
57.7;SCREENING FOR THE OPTIMAL SEQUENCE;302
57.8;QUASI-GRADIENT SCREENING ALGORITHM;303
57.9;CASE STUDY;304
57.10;CONCLUSION;305
57.11;REFERENCES;305
58;CHAPTER 52. STRUCTURAL APPROACH APPLIED TO POWER SYSTEMS ANALYSIS;306
58.1;INTRODUCTION;306
58.2;THE STRUCTURAL APPROACH - BASIC CONCEPTS;306
58.3;STABILITY THEOREMS;306
58.4;LYAPUNOV FUNCTIONS FOR POWER SYSTEMS;308
58.5;APPENDIX;309
58.6;REFERENCES;309
59;CHAPTER 53. OPTIMAL CONTROL OF HYDROTHERMAL SYSTEMS USING A MIN-MAX DECOMPOSITION APPROACH;310
59.1;INTRODUCTION;310
59.2;PROBLEM STATEMENT;310
59.3;A MIN-MAX DECOMPOSITION APPROACH;311
59.4;APPLICATION;312
59.5;CONCLUSIONS;313
59.6;REFERENCES;313
60;CHAPTER 54. HIERARCHICAL CONTROL FOR CITY WATER SUPPLY SYSTEMS;316
60.1;INTRODUCTION;316
60.2;FORMULATION OF THE PRINCIPAL PROBLEMS;316
60.3;STRUCTURE OF HIERARCHICAL OPERATION SCHEDULING MODEL;317
60.4;MODELING, TESTING AND VERIFYING;318
60.5;CONCLUSION;319
60.6;ACKNOWLEDGEMENT;320
60.7;REFERENCE;320
61;CHAPTER 55. SITING AND DIMENSIONING OF HYDROELECTRIC POWER PLANTS;322
61.1;INTRODUCTION;322
61.2;PROBLEM FORMULATION;323
61.3;METHOD OF SOLUTION;325
61.4;REFERENCES;327
62;CHAPTER 56. OPTIMAL ENERGY EXCHANGE IN A DECENTRALIZED POWER POOL;328
62.1;ABSTRACT;328
62.2;1. Power Pooling;328
62.3;2. The Broker Algori thm and Marginal Analysis;328
62.4;3. Generalized Minimum Cost Flow Problem;329
62.5;4. Path Algorithm;329
62.6;5. Maximum Path Return Method (MPR);329
62.7;6. An 0(n 2) Algorithm for Each MPR Iteration;330
62.8;7. Fundamental Theorem of MPR Method;331
62.9;8. Scaling;332
62.10;9. Computational Complexity;332
62.11;10. Convex Transmission Costs;332
62.12;11. Power Pool Revisited;332
62.13;ACKNOWLEDGEMENTS;333
62.14;REFERENCES;333
63;CHAPTER 57. OPTIMIZATION OF LARGE SCALE TIME-DELAY SYSTEMS: TWO INTERACTION PREDICTION ALGORITHMS WITH CONVERGENCE PROOFS AND APPLICATION;334
63.1;INTRODUCTION;334
63.2;STATEMENT OF THE PROBLEM;334
63.3;DECOMPOSITION;334
63.4;ALGORITHM 1;335
63.5;THE SECOND LEVEL (COORDINATOR):;336
63.6;THE FIRST LEVEL;336
63.7;CONVERGENCE PROOFS;336
63.8;APPLICATION;337
63.9;CONCLUSION;338
63.10;REFERENCES;339
64;CHAPTER 58. FORECASTING AND OPTIMAL FLOOD CONTROL FOR RESERVOIRS WITH HYDROELECTRIC PLANTS;340
64.1;INTRODUCTION;340
64.2;FORECASTING OF FLOODS;340
64.3;OPTIMAL CONTROL OF FLOODS;341
64.4;SUMMARY AND ACKNOWLEDGEMENT;342
64.5;REFERENCES;342
64.6;GRAPHS;342
65;CHAPTER 59. A STOCHASTIC MODEL FOR MONTHLY FORECAST OF HYDROELECTRIC ENERGY RESOURCES IN ITALY;346
65.1;INTRODUCTION;346
65.2;THE DATA SET - A PRELIMINARY STATISTICAL ANALYSIS;347
65.3;IDENTIFICATION OF THE TWO STOCHASTIC MODELS;347
65.4;VALIDATION OF THE TWO MODELS AND COMPARISON OF PREDICTIVE PERFORMANCE;348
65.5;CONCLUDING REMARKS;349
65.6;REFERENCES;349
66;CHAPTER 60. A HIERARCHICAL DYNAMIC PROGRAMMING APPROACH FOR SEQUENCING HYDRO POWER PROJECTS;350
66.1;INTRODUCTION;350
66.2;DESCRIPTION OF THE PROBLEM;350
66.3;CONSTITUTION OF MODEL;351
66.4;AN APPLICATION EXAMPLE;353
66.5;ACKNOWLEDGMENT;354
66.6;CONCLUSIONS;354
66.7;REFERENCES;354
67;CHAPTER 61. ENERGY MODELS AS TOOLS FOR POLICY PLANNING IN DEVELOPING COUNTRIES;356
67.1;INTRODUCTION;356
67.2;DEVELOPMENT AND ENERGY;356
67.3;MODELLING ENERGY-ECONOMICS;357
67.4;CONCLUSIONS;358
67.5;REFERENCES;358
68;CHAPTER 62. DECISION ANALYSIS OF THE POLLUTION CONTROL OF THE HUANGPU RIVER;360
68.1;INTRODUCTION;360
68.2;PRELIMINARY ANALYSIS;360
68.3;WATER QUALITY MODELING;361
68.4;REGIONAL WASTEWATER TREATMENT SYSTEM PLANNING;362
68.5;DYNAMIC DECISION ANALYSIS;363
68.6;CONCLUSIONS;363
68.7;REFERENCES;364
69;CHAPTER 63. DYNAMIC ESTUARY WATER QUALITY MODEL AND ITS APPLICATIONS;366
69.1;INTRODUCTION;366
69.2;FORMULATION OF ESTUARY WATER QUALITY MODEL;366
69.3;NUMERICAL ANALYSIS OF THE MODEL;367
69.4;OTHER APPLICATIONS OF DYNAMIC MODEL;368
69.5;CONCLUSION AND ACKNOWLEDGEMENTS;368
69.6;REFERENCES;369
70;CHAPTER 64. OPTIMIZATION OF GRAVITY SEWERAGE SYSTEMS;372
70.1;INTRODUCTION;372
70.2;PROCEDURE OF OPTIMIZATION;373
70.3;ILLUSTRATIVE EXAMPLE;375
70.4;CONCLUSIONS;376
70.5;REFERENCES;376
71;CHAPTER 65. SOME ANALYSIS METHODS FOR THE PROJECT FEASIBILITY STUDY;378
71.1;INTRODUCTION;378
71.2;SYSTEM MODEL;378
71.3;ADJACENT MATRIX;379
71.4;DECISION TREE;379
71.5;CONCLUSION;381
72;CHAPTER 66. SIGNAL ANALYSIS IN ENERGY ECONOMIC MODELLING;382
72.1;INTRODUCTION;382
72.2;A BRIEF REVIEW OF ENERGY ECONOMIC MODELLING;382
72.3;MAR-MODELLING;383
72.4;CONCLUSIONS;384
72.5;REFERENCES;384
73;CHAPTER 67. ANALYSIS OF MULTIVARIABLE DYNAMIC ECONOMIC CONTROL SYSTEMS;386
73.1;INTRODUCTION;386
73.2;THE DYNAMIC INPUT-OUTPUT DISCRETE CONTROL OF ECONOMIC SYSTEMS;386
73.3;Z TRANSFORMATION OF DYNAMIC INPUT–OUTPUT DISCRETE STATE SYSTEM;387
73.4;CANONICAL TRANSFER FUNCTION OF MULTIVARIABLE ECONOMIC CONTROL SYSTEM;387
73.5;SOME EXAMPLES AND THE RESPONSE CURVES WITH DISCRETE UNIT INPUT;388
73.6;OPTIMAL CONTROL OF MULTIVARIABLE DYNAMIC ECONOMICAL SYSTEMS;390
73.7;CONCLUSION;391
73.8;REFERENCES;391
74;CHAPTER 68. A MACRO ECONOMETRIC MODEL OF SHANGHAI (SHECMOD-A2);392
74.1;INTRODUCTION;392
74.2;THE MODEL;392
74.3;TEST RESULTS OF THE MODEL;394
74.4;PERFORMANCE EVALUATION AND APPLICATION FOR SHECHM0D-A2;394
74.5;POLICY SIMULATION WITH MULTIPLE VARIABLE DISTURBANCES;395
74.6;CONCLUTIONS;396
74.7;REFERENCE;396
75;CHAPTER 69. THE INTELLIGENCE CONTROL FOR PRODUCTION MANAGEMENT SYSTEMS;398
75.1;INTRODUCTION;398
75.2;ERAI-NETS, MODELLING TOOLS FOR PMS;399
75.3;PRODUCTION MANAGEMENT SCHEME;399
75.4;INTELLIGENCE DECISION SYSTEM (IDS);400
75.5;DYNAMIC SCHEDULING PROBLEM;400
75.6;CONCLUSION;401
75.7;REFERENCE;401
76;CHAPTER 70. EXPERT SYSTEM OF COMPUTER DISPATCH FOR ROAD TRANSPORTATION;406
76.1;INTRODUCTION;406
76.2;DESING OF THE SYSTEM;407
76.3;INFORMATION PROCESSING;407
76.4;DATA STRUCTURE OF THE ROAD AND ITS CALCULATION;408
76.5;ASSIGNMENT OPERATION;409
76.6;RESULTS OF EXPERIMENTS;410
76.7;CONCLUSION;410
76.8;REFERENCES;411
77;CHAPTER 71. INTRODUCING FLEXIBLE MANUFACTURING SYSTEMS INTO A DEVELOPING COUNTRY;412
77.1;INTRODUCTION;412
77.2;STRATEGY FOR INTRODUCING HIGH-TECHNOLOGY MANUFACTURING SYSTEMS;413
77.3;FACILITIES REQUIRED;413
77.4;INTEGRATING THE PEOPLE;414
77.5;FINANCIAL CONSIDERATIONS;415
77.6;CONCLUSIONS;415
77.7;REFERENCES;415
78;CHAPTER 72. FUZZY MINIMUM-COST FLOW IN NETWORK AND ITS APPLICATION IN TRANSPORTATION PROBLEMS;418
78.1;INTRODUCTION;418
78.2;FUZZY NETWORK;418
78.3;THE PROBLEM OF MINIMUM-COST FLOW IN GENERAL NETWORK;418
78.4;THE PROBLEM I OF FUZZY MINIMUM-COST FLOW;419
78.5;THE PROBLEM II OF FUZZY MINIMUM-COST FLOW;420
78.6;CONCLUSION;421
78.7;REFERENCES;421
79;CHAPTER 73. THE INVENTORY MANAGEMENT PROBLEM OF COAL AND THE ESTIMATION OF MONTHLY RECEIPTS BY FILTERING THEORY;422
79.1;INTRODUCTION;422
79.2;THE SOLUTION OF THE PROBLEM;423
79.3;FURTHER DISCUSSION: THE ESTIMATION OF S(k) BY KALMAN FILTERING THEORY;425
79.4;CONCLUSION;426
79.5;REFERENCES;426
80;CHAPTER 74. SEVERAL WAYS OF FOSTERING STUDENTS OF AUTOMATIC CONTROL SPECIALITY IN COLLEGES OF ENGINEERING IN CHINA;428
80.1;INTRODUCTION;428
80.2;ANALYSIS OF THE CHARACTERISTICS IN TEACHING IN THE AUTOMATIC CONTROL SPECIALIZATION IN CHINA;428
80.3;PRACTICAL MEASURES TO EXTEND THE STUDENTS' ABILITY;429
80.4;THE KEY TO THE PROBLEMS;429
80.5;ACKNOWLEDGEMENTS;431
81;CHAPTER 75. A MACROSCOPIC PREDICTIVE MODEL OF TEACHER'S STRUCTURE IN CHINA'S INSTITUTIONS OF HIGHER EDUCATION;432
81.1;INTRODUCTION;432
81.2;THE SCHEMATIC DIAGRAM OF TEACHERS TITLE STRUCTURE AND THE DEFINITIONS OF SYMBOLS;432
81.3;REFERENCES;435
82;CHAPTER 76. REPORT ON PANEL DISCUSSION ON AUTOMATIC CONTROL EDUCATION FOR DEVELOPMENT;436
83;CHAPTER 77. REPORT ON PANEL DISCUSSION ON IMPACT OF MICROCOMPUTERS ON INDUSTRY;438
84;AUTHOR INDEX;440
85;SUBJECT INDEX;442