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Expert Aided Control System Design

Author: Colin D Tebbutt
Publisher: London : Springer London, 1994.
Series: Advances in industrial control.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Successful multivariable control system design demands knowledge, skill and creativity of the designer. Artificial intelligence can facilitate the design process by capturing much of the knowledge and some of the skill of the designer into an intelligent design tool, leaving the designer free to concentrate more on the creativity aspect of the design. This publication investigates the contribution which artificial  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Colin D Tebbutt
ISBN: 9781447121046 144712104X
OCLC Number: 853269990
Description: 1 online resource (xviii, 134 pages 49 illustrations).
Contents: 1 Artificial Intelligence and Control System Design --
1.1 Introduction --
1.2 Why Use an Expert System? --
1.3 Applications of Expert Systems in CACSD --
1.4 Description of the Design System --
1.5 Notation --
2 The CACSD Method --
2.1 Introduction --
2.2 Notation --
2.3 Summary of Factorization Theory --
2.4 Computing the Coprime Matrix Fractions --
2.5 Diagonal Factorization --
2.6 The Diagonal Factorization Algorithm --
2.7 The QSTEP Parameter --
2.8 The Closed Loop Poles --
2.9 The S Domain --
2.10 Summary --
3 Implementation of the CACSD Package --
3.1 Introduction --
3.2 Generating the Quadratic Programming Problem --
3.3 Representing the Linear Constraints --
3.4 Solving the Quadratic Programming Problem --
3.5 The QPSOL Algorithm --
3.6 Ancillary Functions of the CACSD Package --
3.7 Summary --
4 The Expert System --
4.1 Introduction --
4.2 The User Interface and Philosophy --
4.3 Explaining the Design Language and Methodology --
4.4 Presentation of the Design Status --
4.5 Formulating the Design Specifications --
4.6 Expanding the Scope of the CACSD Package --
4.7 Optimizing the Use of the CACSD Subroutines --
4.8 Summary --
5 Implementation of the Expert System --
5.1 Introduction --
5.2 Selection of the Expert System Shell --
5.3 Communication with External Programs --
5.4 Database Facilities --
5.5 Structure of the Expert System --
5.6 Summary --
6 Sample Design Sessions --
6.1 Introduction --
6.2 Example 1: A Mine Milling Plant --
6.3 Example 2: A Gyroscope --
6.4 Other Examples --
6.5 Summary --
7 Use of the Expert System --
7.1 Introduction --
7.2 The Undergraduate Control System Design Project --
7.3 The Postgraduate Control System Design Project --
7.4 Summary --
8 Implementing the Controller --
8.1 Introduction --
8.2 Full Controller Implementation --
8.3 Reduced Order Controller Estimation --
8.4 Examples of Controller Implementation --
8.5 Summary --
9 Conclusions --
Appendix A MV-CXS Specifications --
A.l Requirements for the Computer --
A.2 Requirements for the Plant --
A.3 The MV-CXS Command Language Specification --
A.3.1 Commands to Select a Response --
A.3.2 Graphics Commands --
A.3.5 Miscellaneous Commands --
Appendix B The CACSD Package Interface --
Appendix C The MV-CXS Student Design Project Instructions --
References.
Series Title: Advances in industrial control.
Responsibility: by Colin D. Tebbutt.

Abstract:

Artificial intelligence can facilitate the design process by capturing much of the knowledge and some of the skill of the designer into an intelligent design tool, leaving the designer free to  Read more...

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