Applied Dynamic Programming for Optimization of Dynamical Systems: (Advances in Design and Control)

Based 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 manoeuvre.

Table of Contents:
List of Figures Preface List of Tables Chapter 1: Introduction Chapter 2: Constrained Optimization Chapter 3: Introduction to Dynamic Programming Chapter 4: Advanced Dynamic Programming Chapter 5: Applied Case Studies Appendix A: Mathematical Supplement Appendix B: Applied Case Studies - MATLAB Software Addendum Bibliography Index.

Review :
The book is a welcome addition to the dynamical systems field. The marriage of optimization broadly and dynamic programming in particular to a family of problems in robotics and spacecraft maneuvers is beautifully executed. There is good balance between development of methodology and presentation of illustrative applications. The detailed appendices will be most appreciated by serious students who wish to understand these results and carry them further. In summary, I like this book and warmly recommend it. John L. Junkins, Distinguished Professor of Aerospace Engineering, Director, Center for Mechanics and Control, Texas A&M University