Criar um Site Grátis Fantástico


Total de visitas: 12844
Dynamic programming and optimal control ebook
Dynamic programming and optimal control ebook

Dynamic programming and optimal control by Dimitri P. Bertsekas

Dynamic programming and optimal control



Download eBook




Dynamic programming and optimal control Dimitri P. Bertsekas ebook
Format: pdf
ISBN: 1886529264, 9781886529267
Page: 281
Publisher: Athena Scientific


Bertsekas * Publisher: Athena Scientific * Number Of Pages: * Publication Date: 1995-06 * ISBN-10 / ASIN: 1886529132 * ISBN-13 / EAN: 9781886529137. Observable system variable: number of packets N(t) in Q. The text provides an introduction to dynamic programming for deterministic optimal control problems, as well as to the corresponding theory of viscosity solutions. ž Methodology: dynamic programming. For more details on NPTEL visit http://nptel.iitm.ac.in. Goshaidas Ray,Department of Electrical Engineering, IIT Kharagpur. ž Control epoch: every unit time (e.g., 1 MTU = 1us). The optimal control problem on nonseparable dynamic discrete systems is Considered. (a) State and prove optimal control problem based on dynamic programming in discrete time system (b) Explain the principles of causality and invariant imbedding. Dynamic Programming and Optimal Control (Volume 2 Only) By Dimitri P. Subject classifications: decision analysis: sequential; dynamic programming/optimal control: Markov finite state, Markov infinite state; military: targeting; probability: Markov processes, stochastic model applications. Decision Problems (MDPs) and solved using Dynamic Programming techniques. The materials are largely based on the textbook, Dynamic Programming and Optimal Control, written by Professors John Tsitsiklis and Dimitri Bertsekas (see http://www.athenasc.com/probbook.html for more information). Dynamic Programming techniques are utilized to determine the optimal control for a hybrid electric vehicle powertrain in order to minimize fuel consumption and maximize efficiency of hybrid electric powertrain. Topics from deterministic and stochastic optimal control, reinforcement learning and dynamic programming, numerical optimization in the context of control, and robotics. Geared toward upper-level undergraduates, this text introduces three aspects of optimal control theory: dynamic programming, Pontryagin's minimum principle, and numerical techniques for trajectory optimization. In contrary, results on optimal nonlinear dynamic optimization problems are rare.

Download more ebooks: