Optimal Design of Control Systems: Stochastic and Deterministic Problems (Pure and Applied Mathematics: A Series of Monographs and Textbooks/221): Chapman & Hall/CRC Pure and Applied Mathematics
Autor Gennadii E. Kolosoven Limba Engleză Hardback – iun 1999
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Specificații
ISBN-13: 9780824775377
ISBN-10: 0824775376
Pagini: 420
Dimensiuni: 152 x 229 x 24 mm
Greutate: 0.71 kg
Ediția:New.
Editura: CRC Press
Colecția CRC Press
Seria Chapman & Hall/CRC Pure and Applied Mathematics
ISBN-10: 0824775376
Pagini: 420
Dimensiuni: 152 x 229 x 24 mm
Greutate: 0.71 kg
Ediția:New.
Editura: CRC Press
Colecția CRC Press
Seria Chapman & Hall/CRC Pure and Applied Mathematics
Public țintă
ProfessionalCuprins
Synthesis problems for control systems and the dynamic programming approach; exact methods for synthesis problems; approximate synthesis of stochastic control systems with small control actions; synthesis of quasioptimal systems in the case of small diffusion terms in the Bellman equation; control of oscillatory systems; some special applications of asymptotic synthesis methods; numerical synthesis methods.
Recenzii
"...interesting to readers seeking insight into dynamic stochastic optimization problems."
---International Statistical Institute
"This book with emphasis is analytical methods for approximate solutions to Bellman's equation can be recommended to applied scientists who want to use dynamic programming method in a constructive way. "
---Zentralblatt fur Mathematik, 2000
---International Statistical Institute
"This book with emphasis is analytical methods for approximate solutions to Bellman's equation can be recommended to applied scientists who want to use dynamic programming method in a constructive way. "
---Zentralblatt fur Mathematik, 2000
Descriere
"Covers design methods for optimal (or quasioptimal) control algorithms in the form of synthesis for deterministic and stochastic dynamical systems-with applications in aerospace, robotic, and servomechanical technologies. Providing new results on exact and approximate solutions of optimal control problems."