Optimal Supervisory Control of Automated Manufacturing Systems
This monograph presents the state-of-the-art developments in the design of behaviorally and structurally optimal livenessen-forcing Petri net supervisors with computationally tractable approaches. It details optimal supervisory control problems arising in automated production systems and outlines a methodology to achieve the optimality purposes of
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Optimal Supervisory Control of Automated Manufacturing Systems
This monograph presents the state-of-the-art developments in the design of behaviorally and structurally optimal livenessen-forcing Petri net supervisors with computationally tractable approaches. It details optimal supervisory control problems arising in automated production systems and outlines a methodology to achieve the optimality purposes of
48.99 In Stock
Optimal Supervisory Control of Automated Manufacturing Systems

Optimal Supervisory Control of Automated Manufacturing Systems

by Yufeng Chen, Zhiwu Li
Optimal Supervisory Control of Automated Manufacturing Systems

Optimal Supervisory Control of Automated Manufacturing Systems

by Yufeng Chen, Zhiwu Li

eBook

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Overview

This monograph presents the state-of-the-art developments in the design of behaviorally and structurally optimal livenessen-forcing Petri net supervisors with computationally tractable approaches. It details optimal supervisory control problems arising in automated production systems and outlines a methodology to achieve the optimality purposes of

Product Details

ISBN-13: 9781466577541
Publisher: CRC Press
Publication date: 01/23/2013
Sold by: Barnes & Noble
Format: eBook
Pages: 204
File size: 2 MB

About the Author

Chen, Yufeng; Li, Zhiwu

Table of Contents

Introduction. Preliminaries. Symbolic Computation and Analysis of Petri Nets. Supervisor Design Based on the Theory of Regions. Maximally Permissive Supervisors. Most Permissive Supervisors. Structurally Minimal Supervisors. Behaviorally Optimal and Structurally Simple Supervisors. Forbidden State Problems. Conclusions and Open Problems.
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