Hybrid Switching Diffusions
Yin, G. George, Zhu, Chao
Produktnummer:
18f746b8f555e241ada0c9d396c02a8641
Autor: | Yin, G. George Zhu, Chao |
---|---|
Themengebiete: | Markov chain Measure continuous-state-dependent switching process continuous dynamics discrete event hybrid system recurrence stability switching diffusion |
Veröffentlichungsdatum: | 26.10.2009 |
EAN: | 9781441911049 |
Sprache: | Englisch |
Seitenzahl: | 398 |
Produktart: | Gebunden |
Verlag: | Springer US |
Untertitel: | Properties and Applications |
Produktinformationen "Hybrid Switching Diffusions"
This book encompasses the study of hybrid switching di usion processes and their applications. The word \hybrid" signi es the coexistence of c- tinuous dynamics and discrete events, which is one of the distinct features of the processes under consideration. Much of the book is concerned with the interactions of the continuous dynamics and the discrete events. Our motivations for studying such processes originate from emerging and - isting applications in wireless communications, signal processing, queueing networks, production planning, biological systems, ecosystems, nancial engineering, and modeling, analysis, and control and optimization of lar- scale systems, under the in uence of random environments. Displaying mixture distributions, switching di usions may be described by the associated operators or by systems of stochastic di erential eq- tions together with the probability transition laws of the switching actions. We either have Markov-modulated switching di usions or processes with continuous state-dependent switching. The latter turns out to be much more challenging to deal with. Viewing the hybrid di usions as a number of di usions joined together by the switching process, they may be se- ingly not much di erent from their di usion counterpart. Nevertheless, the underlying problems become more di cult to handle, especially when the switching processes depend on continuous states. The di culty is due to the interaction of the discrete and continuous processes and the tangled and hybrid information pattern.

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