Scheduling algorithm of data sampling times in the integrated communication and control systems
Integrated communication and control systems (ICCS) consist of several distributed control processes which share a network medium. Performance of several feedback control loops in the ICCS is subject to the network-induced delays from sensor to controller and from controller to actuator. The network...
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| Veröffentlicht in: | IEEE transactions on control systems technology Jg. 3; H. 2; S. 225 - 230 |
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
01.06.1995
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| ISSN: | 1063-6536 |
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| Abstract | Integrated communication and control systems (ICCS) consist of several distributed control processes which share a network medium. Performance of several feedback control loops in the ICCS is subject to the network-induced delays from sensor to controller and from controller to actuator. The network-induced delays are directly dependent upon the data sampling times of the control components which share a network medium. In this study, a scheduling algorithm of determining data sampling times is developed using the window concept, where the sampled data from the control components in the ICCS share a limited number of windows, so that the performance requirement of each control loop is satisfied as well as the utilization of network resources is considerably increased. The scheduling algorithm is verified by discrete-event/continuous-time simulation model of an example of ICCS.< > |
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| AbstractList | Integrated communication and control systems (ICCS) consist of several distributed control processes which share a network medium. Performance of several feedback control loops in the ICCS is subject to the network-induced delays from sensor to controller and from controller to actuator. The network-induced delays are directly dependent upon the data sampling times of the control components which share a network medium. In this study, a scheduling algorithm of determining data sampling times is developed using the window concept, where the sampled data from the control components in the ICCS share a limited number of windows, so that the performance requirement of each control loop is satisfied as well as the utilization of network resources is considerably increased. The scheduling algorithm is verified by discrete-event/continuous-time simulation model of an example of ICCS Integrated communication and control systems (ICCS) consist of several distributed control processes which share a network medium. Performance of several feedback control loops in the ICCS is subject to the network-induced delays from sensor to controller and from controller to actuator. The network-induced delays are directly dependent upon the data sampling times of the control components which share a network medium. In this study, a scheduling algorithm of determining data sampling times is developed using the window concept, where the sampled data from the control components in the ICCS share a limited number of windows, so that the performance requirement of each control loop is satisfied as well as the utilization of network resources is considerably increased. The scheduling algorithm is verified by discrete-event/continuous-time simulation model of an example of ICCS.< > |
| Author | Seung Ho Hong |
| Author_xml | – sequence: 1 givenname: Seung surname: Hong middlename: Ho fullname: Hong, Seung Ho |
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| SubjectTerms | Automatic control Centralized control Communication system control Control systems Distributed control Job shop scheduling Processor scheduling Real time systems Sampling methods Scheduling algorithm |
| Title | Scheduling algorithm of data sampling times in the integrated communication and control systems |
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