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Nonblocking Supervisory Control of State Tree Structures [electronic resource] / by Chuan Ma, W. Murray Wonham.

By: Ma, Chuan [author.]Contributor(s): Wonham, W. Murray [author.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Control and Information Sciences ; 317Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Edition: 1st ed. 2005Description: XV, 192 p. 114 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540315896Subject(s): Control engineering | Robotics | Mechatronics | Vibration | Dynamical systems | Dynamics | System theory | Artificial intelligence | Control, Robotics, Mechatronics | Vibration, Dynamical Systems, Control | Systems Theory, Control | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 629.8 LOC classification: TJ210.2-211.495TJ163.12Online resources: Click here to access online
Contents:
Introduction -- State Tree Structures: Basics -- Nonblocking Supervisory Control of State Tree Structures -- Symbolic Computation of State Tree Structures -- The Production Cell Example -- The AIP Example -- Conclusions and Future Research.
In: Springer eBooksSummary: This monograph proposes how to manage complexity by organizing the system as a State Tree Structure (STS). Based on STS, which is an adaptation of statecharts to Supervisory Control Theory, an efficient recursive symbolic algorithm is presented that can perform nonblocking supervisory control design in reasonable time and memory for complex systems. Nonblocking Supervisory Control of State Tree Structures presents how this results in tractable and highly comprehensible controllers, especially to users who are not specialists in Discrete - Event Systems.
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Introduction -- State Tree Structures: Basics -- Nonblocking Supervisory Control of State Tree Structures -- Symbolic Computation of State Tree Structures -- The Production Cell Example -- The AIP Example -- Conclusions and Future Research.

This monograph proposes how to manage complexity by organizing the system as a State Tree Structure (STS). Based on STS, which is an adaptation of statecharts to Supervisory Control Theory, an efficient recursive symbolic algorithm is presented that can perform nonblocking supervisory control design in reasonable time and memory for complex systems. Nonblocking Supervisory Control of State Tree Structures presents how this results in tractable and highly comprehensible controllers, especially to users who are not specialists in Discrete - Event Systems.

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