ADEX optimized adaptive controllers and systems from research to industrial practice /
This book is a simple and didactic account of the developments and practical applications of predictive, adaptive predictive, and optimized adaptive control from a perspective of stability, including the latest methodology of adaptive predictive expert (ADEX) control. ADEX Optimized Adaptive Control...
| Main Author: | Martín-Sánchez, Juan M., |
|---|---|
| Other Authors: | Rodellar, José,, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
[2014]
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| Physical Description: |
1 online resource (xxxi, 447 pages) : illustrations (some color). |
| Series: |
Advances in industrial control.
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| Subjects: |
Table of Contents:
- Series Editors' Foreword; Preface; Learning Approach and Contents; Contents; Part IIntroduction and Fundamentalsof Optimized AdaptiveControllers and Systems; 1 Introduction to Optimized Adaptive Controllers and Systems; 1.1 Introduction; 1.2 Concept of Control Loop in an Industrial Process; 1.3 Requirements for an Advanced Industrial Control Methodology; 1.4 The Methodology of Negative Feedback; 1.5 The Impact of Digital Computers in Process Control; 1.6 Basic Concept of Discrete Time Modelling; 1.7 Predictive Control: Origin and Basic Concepts; 1.8 The Effect of Perturbations.
- 1.9 The Need for Adaptation1.10 Adaptive Systems; 1.11 Adaptive Predictive Control; 1.11.1 Block Diagram; 1.11.2 Application Example; 1.12 Extended Strategy of Predictive Control; 1.13 Optimized Adaptive Control; 1.14 Limits of Adaptive Predictive Control; 1.15 Adaptive Predictive Expert Control; 1.15.1 ADEX Domains; 1.15.2 Block Diagram and Functional Description; 1.15.3 Conceptual Example of an Application; 1.16 Industrial Optimized Adaptive Control; 1.16.1 Optimized Process Control System; 1.16.2 Optimized Process Control Strategy; 1.16.3 Optimized Adaptive Process Control Systems.
- 1.17 A First Level of Conceptual KnowledgeReferences; 2 Scenarios, Notation and Stability Conditions for Adaptive Predictive Control; 2.1 Introduction; 2.2 Scenarios for Design and Analysis; 2.3 Process and AP Model in the Ideal Case; 2.3.1 Example of a Process without Pure Delays; 2.3.2 Example of Process with Pure Time Delays; 2.4 General Description of the Real Case; 2.4.1 Description of the Process; 2.4.2 Description of the AP Model Functions; 2.5 Control Objectives; 2.6 Design from the Perspective of Stability; 2.7 Stability Conditions.
- 2.8 From Conceptual Knowledge to a Profound UnderstandingPart IExercises of Part I; Part IIDesign of the Driver Block: Basicand Extended Predictive ControlStrategies; 3 Basic Strategy of Predictive Control; 3.1 Introduction; 3.2 Basic Strategy of Predictive Control; 3.3 The Model Reference Concept; 3.4 The New Concept of Driver Block; 3.5 The Concept of Projected Desired Trajectory; 3.6 Basic Strategy Application Example; 3.7 The Concept of Driving Desired Trajectory; 3.8 Need for an Extension to the Basic Strategy; References; 4 Extended Strategy of Predictive Control; 4.1 Introduction.
- 4.2 Extended Strategy of Predictive Control4.2.1 The Extended Strategy; 4.2.2 Extended Prediction; 4.2.3 Performance Criterion, Projected Desired Trajectory and Control Action; 4.3 Minimization of the Cost Function and Control Law; 4.4 A Particular Solution; 4.5 Illustrative Stability and Robustness Analysis; 4.5.1 Theoretical Analysis: Transfer Functions; 4.5.2 Theoretical Analysis: Stability and Robustness; 4.5.3 Illustrative Example 1; 4.5.4 Illustrative Example 2; 4.6 Conclusions; References; Part IIExercises of Part II.