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100			_a Robinett, Rush D _94101
100			_a Wilson, David G. _94102
100			_aEisler, G. Richard _94103
100			_aHurtado, John E. _94100
245		0	_aApplied Dynamic Programming for Optimization of Dynamical Systems
260			_c2005 _bSIAM, _aPhiladelphia,
300			_a259 pages
340			_hC8 127
490			_aAdvances in Design and Control
520			_aBased on the results of over 10 years of research and development by the authors, this book presents a broad cross section of dynamic programming (DP) techniques applied to the optimization of dynamical systems. The main goal of the research effort was to develop a robust path planning/trajectory optimization tool that did not require an initial guess. The goal was partially met with a combination of DP and homotopy algorithms. DP algorithms are presented here with a theoretical development, and their successful application to variety of practical engineering problems is emphasized. Applied Dynamic Programming for Optimization of Dynamical Systems presents applications of DP algorithms that are easily adapted to the reader's own interests and problems. The book is organized in such a way that it is possible for readers to use DP algorithms before thoroughly comprehending the full theoretical development. A general architecture is introduced for DP algorithms emphasizing the solution to nonlinear problems. DP algorithm development is introduced gradually with illustrative examples that surround linear systems applications. Many examples and explicit design steps applied to case studies illustrate the ideas and principles behind DP algorithms. DP algorithms potentially address a wide class of applications composed of many different physical systems described by dynamical equations of motion that require optimized trajectories for effective maneuverability. The DP algorithms determine control inputs and corresponding state histories of dynamic systems for a specified time while minimizing a performance index. Constraints may be applied to the final states of the dynamic system or to the states and control inputs during the transient portion of the maneuver.
650			_adynamic model _94104
650			_aoptimization theory _94105
650			_adynamic programming _96474
650			_aoptimization _95128
650			_aMATLAB _96019
856			_uhttps://epubs.siam.org/doi/book/10.1137/1.9780898718676 _yPublisher's website
942			_cBO _2ddc