Advances in industrial systems /

Control and Dynamic Systems V37: Advances in Industrial Systems.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Leondes, C. T.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego : Academic Press, �1990.
Colección:Control and dynamic systems. Advances in theory and applications ; v. 37.
Temas:
Control theory.
System analysis.
Th�eorie de la commande.
Analyse de syst�emes.
systems analysis.
TECHNOLOGY & ENGINEERING > Automation.
TECHNOLOGY & ENGINEERING > Robotics.
Control theory
System analysis
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Advances in Industrial Systems; Copyright Page; Table of Contents; CONTRIBUTORS; PREFACE; Chapter 1. New Performance Measures for Real-Time Digital Computer Controls and Their Applications; 1 Introduction; 2 The Changing Role of Controllers; 3 The Role of Performance Measures; 4 The Need For a Clean Interface; 5 Performance Measures; 6 Obtaining the Hard Deadlines and Cost Functions: An Example; 7 Application of the Measures: Checkpoint Placement; 8 The Number-Power Tradeoff; 9 Discussion; References; CHAPTER 2. MODELING AND CONTROL OF AUTOMOTIVE POWER TRAINS; I. INTRODUCTION
  • II. POWER TRAIN CONTROL APPLICATIONSIII. PRESENT AND FUTURE TRENDS IN POWER TRAIN CONTROL SYSTEMS; IV. TRENDS IN AUTOMOTIVE COMPUTER CONTROL SYSTEMS; V. CONCLUDING REMARKS; ACKNOWLEDGMENTS; REFERENCES; CHAPTER 3. CONTROL TECHNIQUES IN THE PULP AND PAPER INDUSTRY; I. INTRODUCTION; II. CONTROL OF VARIABLE DEAD-TIME PROCESSES; III. CONTROL OF WEB PROCESSES; V. CHIP REFINER CONTROL; V. WOOD SPECIES VARIATIONS; VI. CONCLUSIONS; REFERENCES; CHAPTER 4. ADVANCES IN THE THEORY AND PRACTICE OF PRODUCTION SCHEDULING; I. INTRODUCTION; II. PRODUCTION SCHEDULING PROBLEMS; III. SCHEDULING APPROACHES
  • IV. SUMMARY AND FUTURE DIRECTIONSACKNOWLEDGEMENT; REFERENCES; CHAPTER 5. DETECTION AND DIAGNOSIS OF PLANT FAILURES: THE ORTHOGONAL PARITY EQUATION APPROACH; 1. INTRODUCTION; 2. PROBLEM STATEMENT; 3. ISOLABILITY CONDITIONS; 4. MODEL TRANSFORMATION; 5. PARAMETRIC FAILURES; 6. STATISTICAL TESTING; 7. MODELING ERROR ROBUSTNESS; 8. GENERATING DIAGNOSTIC MODELS [9]; 9. DESIGN EXAMPLES; 10. REFERENCES; APPENDIX; CHAPTER 6. MODEL
  • PREDICTIVE CONTROL OF PROCESSES WITH MANY INPUTS AND OUTPUTS; I. INTRODUCTION; II. MPC THEORY; III. EXAMPLE APPLICATION; IV. CONCLUSIONS
  • v. ADDITIONAL DETAILS FOR THE EXAMPLE PROBLEMVI. ACKNOWLEDGEMENTS; VII. REFERENCES; CHAPTER 7. ROBUST ESTIMATION THEORY FOR BAD DATA DIAGNOSTICS IN ELECTRIC POWER SYSTEMS; I. INTRODUCTION; II. ELEMENTS OF ROBUST ESTIMATION THEORY; III. POWER SYSTEM STATE ESTIMATION : STATE-OF-THE-ART; IV. LEAST MEDIAN OF SQUARES ESTIMATOR; V. SIMULATION RESULTS; VI. THE LOCAL BREAKDOWN POINT CONCEPT; VII. CONCLUSIONS; APPENDIX A. PARALLEL PROCESSING IMPLEMENTATION; ACKNOWLEDGEMENTS; REFERENCES; CHAPTER 8. MATCHING ANALYTICAL MODELS WITH EXPERIMENTAL MODAL DATA IN MECHANICAL SYSTEMS; I. INTRODUCTION
  • II. PREVIOUS WORKIII. BACKGROUND; IV. PROBLEM 1 MODEL CORRECTION FOR THE UNDAMPED STRUCTURE; V. PROBLEM 2 MODEL CORRECTION FOR ADDING DAMPING; VI. PROBLEM 3 MODEL CORRECTION BY EIGENSTRUCTURE ASSIGNMENT; VII. PROBLEM 4 MODE CORRECTION BY POLE PLACEMENT; VIII. SUMMARY AND DISCUSSION; Acknowledgements; References; CHAPTER 9. TECHNIQUES IN INDUSTRIAL CHEMICAL SYSTEMS OPTIMIZATION; I. INTRODUCTION; II. FEATURES OF SOLVING OPTIMIZATION PROBLEMS IN THE CHEMICAL INDUSTRY; III. TECHNIQUES OF OPTIMIZATION FOR CHEMICAL PLANTS; III. DISTRIBUTED VERSUS CENTRALIZED OPTIMIZATION

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