Cargando…
The Shell Process Control Workshop /
Shell Process Control Workshop covers the proceedings of a workshop of the same name, held in Houston, Texas on December 15, 1986. The said workshop seeks to improve the communication process between academic researchers, industrial researchers, and the engineering community in the field of process...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico Congresos, conferencias eBook |
| Idioma: | Inglés |
| Publicado: |
Boston :
Butterworths,
�1987.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; The Shell Process Control Workshop; Copyright Page; Table of Contents; ACKNOWLEDGMENT; OBJECTIVES; AUTHOR INDEX; SCHEDULE OF EVENTS; Chapter 1. Workshop Papers; Design Methodology Based On the Fundamental Control Problem Formulation; Abstract; 1 Summary; 2 Introduction; 3 The Fundamental Control Problem; 4 Survey of Existing Control Methodologies; 5 A Design Procedure for Process Control; 6 Areas of Research for the Realization of the Fundamental Control Problem; 7 References; Control of Autoclave Processing of Polymeric Composites; Abstract; Introduction; Component Manufacturing
- Motivation for ControlProcess Control; The Role of Academia in Control Research; Summary; References; Expert Systems in Process Control and Optimization A Perspective; Abstract; Introduction; Artificial Intelligence and Process Control; Heuristics in Control Applications; Technology Transfer; Expert Apprentices; Symbolic Programming; The Knowledge Engineer; Machine Learning; Conclusions; References; An Artificial Intelligence Perspective in the Design of Control Systems for Complete Chemical Processes; Abstract; I Introduction
- II A Model for the Plant Control System Design Procedure and Its CharacteristicsII. A The State of the Control System Design; II. B The Goal Structure of the Design Process and Its Rationale; II. C Design Decisions and Their Rationale; II. D Controlling the Path of the Design Process; II. E ""Learning"" in Plant Control System Design; III Knowledge-Based Expert System Methodologies; III. A Knowledge Representation; III. B Inference Mechanisms and Explanation Facilities; III. C Strategies for Controlling the Design Procedure; IV Computing Environment and Programming Style: The ""Control Design-Kit""
- IV. A Computing EnvironmentIV. B Programming Style; IV. C The CONTROL DESIGN-KIT
- V Summary; References; Process Identification
- Past. Present. Future; Abstract; 1 Summary; 2 Introduction; 3 Model Identification Overview; 4 Process Data Collection; 5 Process Representation; 6 Identification Accuracy Criteria; 7 Identification Approaches; 8 Identification Example; 9 Conclusions; 10 References; Adaptive Control Software for Processes with Significant Deadtime; Abstract; I. Introduction; II. Adaptive Inferential (Internal Model) Control; III. Intune Software
- IV. Application of Intune to a Laboratory Heat ExchangerReferences; A Systems Engineering Approach to Process Modeling; Abstract; 1 Introduction; 2 Systems Engineering: Some General Thoughts; 3 A Qualitative Assessment Of Cause And Effect Relationship; 4 A More Quantitative Assessment, The Relative Gain Matrix; 5 Further Improvements In Modeling, The Conservation Principle Models; 6 Merging Empirical Models With Fundamental Principles, The Empirical Residence Time Distribution For Accumulation Dynamics.; 7 The ARMA Model; 8 Learning From The Basic Principles, First Order Processes