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\n\n \n \n \n \n \n \n Controllers with Minimal Observation Power (Application to Timed Systems).\n \n \n \n \n\n\n \n Bulychev, P. E.; Cassez, F.; David, A.; Larsen, K. G.; Raskin, J.; and Reynier, P.\n\n\n \n\n\n\n In
Automated Technology for Verification and Analysis - 10th International Symposium, ATVA 2012, pages 223-237, 2012. \n
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@inproceedings{atva-12,\n author = {Peter E. Bulychev and\n Franck Cassez and\n Alexandre David and\n Kim Guldstrand Larsen and\n Jean-François Raskin and\n Pierre-Alain Reynier},\n title = {Controllers with Minimal Observation Power (Application\n to Timed Systems)},\n booktitle = {Automated Technology for Verification and Analysis - 10th\n International Symposium, ATVA 2012},\n year = {2012},\n pages = {223-237},\n urlpaper = {papers/atva-2012.pdf},\n url_link = {http://dx.doi.org/10.1007/978-3-642-33386-6_19},\n mywebpage = {timed},\n keywords = {timed automata, timed games, control},\n abstract = {\n We consider the problem of controller synthesis under imperfect information in a setting where there is a set of available observable predicates equipped with a cost function. The problem that we address is the computation of a subset of predicates sufficient for control and whose cost is minimal. Our solution avoids a full exploration of all possible subsets of predicates and reuses some information between different iterations. We apply our approach to timed systems. We have developed a tool prototype and analyze the performance of our optimization algorithm on two case studies.\n },\n Type = {B - International Conferences},\n\n}\n\n
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\n We consider the problem of controller synthesis under imperfect information in a setting where there is a set of available observable predicates equipped with a cost function. The problem that we address is the computation of a subset of predicates sufficient for control and whose cost is minimal. Our solution avoids a full exploration of all possible subsets of predicates and reuses some information between different iterations. We apply our approach to timed systems. We have developed a tool prototype and analyze the performance of our optimization algorithm on two case studies. \n
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\n\n \n \n \n \n \n \n Controllers with Minimal Observation Power (Application to Timed Systems).\n \n \n \n \n\n\n \n Bulychev, P. E.; Cassez, F.; David, A.; Larsen, K. G.; Raskin, J.; and Reynier, P.\n\n\n \n\n\n\n
CoRR, abs/1207.1276. 2012.\n
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@article{bulychev-2012,\n author = {Peter E. Bulychev and\n Franck Cassez and\n Alexandre David and\n Kim G. Larsen and\n Jean{-}Fran{\\c{c}}ois Raskin and\n Pierre{-}Alain Reynier},\n title = {Controllers with Minimal Observation Power (Application to Timed Systems)},\n journal = {CoRR},\n Type = {E - Reports},\n volume = {abs/1207.1276},\n year = {2012},\n urlpaper = {http://arxiv.org/abs/1207.1276},\n timestamp = {Wed, 10 Oct 2012 21:28:54 +0200},\n biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/abs-1207-1276},\n bibsource = {dblp computer science bibliography, http://dblp.org},\n abstract = {\n We consider the problem of controller synthesis under imperfect information in a setting where there is a set of available observable predicates equipped with a cost function. The problem that we address is the computation of a subset of predicates sufficient for control and whose cost is minimal. Our solution avoids a full exploration of all possible subsets of predicates and reuses some information between different iterations. We apply our approach to timed systems. We have developed a tool prototype and analyze the performance of our optimization algorithm on two case studies.\n },\n mywebpage = {timed},\n keywords = {timed automata, timed games, control},\n\n}\n\n
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\n We consider the problem of controller synthesis under imperfect information in a setting where there is a set of available observable predicates equipped with a cost function. The problem that we address is the computation of a subset of predicates sufficient for control and whose cost is minimal. Our solution avoids a full exploration of all possible subsets of predicates and reuses some information between different iterations. We apply our approach to timed systems. We have developed a tool prototype and analyze the performance of our optimization algorithm on two case studies. \n
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\n\n \n \n \n \n \n \n The Complexity of Codiagnosability for Discrete Event and Timed Systems.\n \n \n \n \n\n\n \n Cassez, F.\n\n\n \n\n\n\n
IEEE Trans. Automat. Contr., 57(7): 1752-1764. 2012.\n
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@article{tac-12,\n author = {Franck Cassez},\n title = {The Complexity of Codiagnosability for Discrete Event and\n Timed Systems},\n journal = {IEEE Trans. Automat. Contr.},\n volume = {57},\n number = {7},\n year = {2012},\n type = {A - Journal},\n pages = {1752-1764},\n urlpaper = {papers/tac-2012.pdf},\n url_link = {http://dx.doi.org/10.1109/TAC.2012.2183169},\n doi = {http://dx.doi.org/10.1109/TAC.2012.2183169},\n mywebpage = {timed},\n keywords = {timed automata, Fault diagnosis, Complexity},\n abstract = {\n In this paper we study the fault codiagnosis problem for discrete event systems given by finite automata (FA) and timed systems given by timed automata (TA). We provide a uniform characterisation of codiagnosability for FA and TA which extends the necessary and sufficient condition that characterises diagosability. We also settle the complexity of the codiagnosability problems both for FA and TA and show that codiagnosability is PSPACE-complete in both cases. For FA this improves on the previously known bound (EXPTIME) and for TA it is a new result. We then generalise the previous results to the case of dynamic observers. Finally we show that the codiagnosis problem for TA under bounded resources is 2EXPTIME-complete.\n }\n}\n\n
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\n In this paper we study the fault codiagnosis problem for discrete event systems given by finite automata (FA) and timed systems given by timed automata (TA). We provide a uniform characterisation of codiagnosability for FA and TA which extends the necessary and sufficient condition that characterises diagosability. We also settle the complexity of the codiagnosability problems both for FA and TA and show that codiagnosability is PSPACE-complete in both cases. For FA this improves on the previously known bound (EXPTIME) and for TA it is a new result. We then generalise the previous results to the case of dynamic observers. Finally we show that the codiagnosis problem for TA under bounded resources is 2EXPTIME-complete. \n
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