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_aTJ222 _b.C355 2016 |
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_aCai, Kai _0Local _997074 |
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_aSupervisor Localization : _bA Top-Down Approach to Distributed Control of Discrete-Event Systems _cby Kai Cai, W Murray Wonham |
| 260 |
_aCham _bSpringer International Publishing _c2016 |
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| 300 |
_a1 recurso en línea (XV, 199 páginas) _b136 ilustraciones, 9 ilustraciones en color |
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| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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_aLecture Notes in Control and Information Sciences _x0170-8643 _v459 |
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| 505 | 0 | _aIntroduction -- Localization: Fundamental Results -- Localization: Further Results and Examples -- Localization for Large-Scale Systems -- Case Study: Production Cell -- Localization based on State Tree Structures -- Localization of Timed Discrete-Event Systems -- Conclusions -- Appendix A Nerode Equivalence and Canonical Recognizer -- Appendix B NP-Hardness of Minimal-State Localization -- Appendix C Quasi-Congruence of Nondeterministic Generator. | |
| 520 | 3 | _aThis monograph presents a systematic top-down approach to distributed control synthesis of discrete-event systems (DES). The approach is called supervisor localization; its essence is the allocation of external supervisory control action to individual component agents as their internal control strategies. The procedure is: first synthesize a monolithic supervisor, to achieve globally optimal and nonblocking controlled behavior, then decompose the monolithic supervisor into local controllers, one for each agent. The collective behavior of the resulting local controllers is identical to that achieved by the monolithic supervisor. The basic localization theory is first presented in the Ramadge�Wonham language-based supervisory control framework, then demonstrated with distributed control examples of multi-robot formations, manufacturing systems, and distributed algorithms. An architectural approach is adopted to apply localization to large-scale DES; this yields a heterarchical localization procedure, which is also demonstrated with benchmark examples. Moreover, a state-based framework, state-tree structures, is exploited for efficient computation of localization. Finally localization is extended to timed DES, which addresses distributed control synthesis with temporal specifications. The authors� TCT software and sourcecode will help the reader to reproduce the results demonstrated in the examples. Academic researchers and graduate students interested in discrete-event and distributed systems and control will find this book an instructive resource. It will also be useful for researchers in manufacturing, supply-chain and logistics and practitioners in related industries. | |
| 710 | 2 |
_aSpringerLink (Online service) _0Local _9106996 |
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_aSistemas, Teoría de _0 _2embne _9141328 |
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_aWonham, W. Murray. _997075 _0Local |
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