Calculating All Minimal Transition-Based Sensor Activation Policies for the Purpose of Supervisory Control
Consider the problem of designing a supervisory control in which the supervisor has control not merely over the inputs (or actuators), but can also choose to turn sensors on or off. In this context, the supervisor can flexibly adjust the set of activated sensors to reduce sensor utilization without...
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| Published in | IEEE transactions on automatic control Vol. 62; no. 11; pp. 5894 - 5901 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
IEEE
01.11.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0018-9286 1558-2523 |
| DOI | 10.1109/TAC.2016.2645765 |
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| Abstract | Consider the problem of designing a supervisory control in which the supervisor has control not merely over the inputs (or actuators), but can also choose to turn sensors on or off. In this context, the supervisor can flexibly adjust the set of activated sensors to reduce sensor utilization without compromising the correctness of control decisions. Building upon existing methods for computing a transition-based minimal sensor activation policy, algorithms are presented in this technical note for computing all minimal transition-based sensor activation policies. This result is then extended for minimizing the numerical sensor activation cost for systems modeled by stochastic automata. |
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| AbstractList | Consider the problem of designing a supervisory control in which the supervisor has control not merely over the inputs (or actuators), but can also choose to turn sensors on or off. In this context, the supervisor can flexibly adjust the set of activated sensors to reduce sensor utilization without compromising the correctness of control decisions. Building upon existing methods for computing a transition-based minimal sensor activation policy, algorithms are presented in this technical note for computing all minimal transition-based sensor activation policies. This result is then extended for minimizing the numerical sensor activation cost for systems modeled by stochastic automata. |
| Author | Chaohui Gong Weilin Wang |
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| Cites_doi | 10.1016/j.automatica.2016.06.016 10.1109/WODES.2002.1167685 10.1007/s10626-008-0045-4 10.1016/j.automatica.2010.04.004 10.1109/9.543996 10.1109/TAC.2008.929873 10.1109/TASE.2012.2230443 10.1007/978-3-540-78929-1_6 10.1016/0020-0255(88)90001-1 10.1109/TAC.2010.2046062 10.1109/TAC.2003.809144 10.1109/TITS.2008.922925 10.1109/CDC.2007.4434935 10.1109/TAC.2013.2294613 10.1016/j.sysconle.2007.03.006 10.1007/s10626-007-0027-y 10.1137/0325013 10.1007/s10626-015-0212-3 10.1109/CDC.2008.4738663 10.1145/984622.984626 10.1109/TAC.2011.2108410 |
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| Snippet | Consider the problem of designing a supervisory control in which the supervisor has control not merely over the inputs (or actuators), but can also choose to... |
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| StartPage | 5894 |
| SubjectTerms | Automata Computational modeling Discrete event systems Numerical models Optimization sensor activation Supervisory control Trajectory |
| Title | Calculating All Minimal Transition-Based Sensor Activation Policies for the Purpose of Supervisory Control |
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