Practical Methods for Optimal Control Using Nonlinear Programming, Third Edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Methods for Optimal Control Using Nonlinear Programming, Third Edition write by John T. Betts. This book was released on 2020-07-09. Practical Methods for Optimal Control Using Nonlinear Programming, Third Edition available in PDF, EPUB and Kindle. How do you fly an airplane from one point to another as fast as possible? What is the best way to administer a vaccine to fight the harmful effects of disease? What is the most efficient way to produce a chemical substance? This book presents practical methods for solving real optimal control problems such as these. Practical Methods for Optimal Control Using Nonlinear Programming, Third Edition focuses on the direct transcription method for optimal control. It features a summary of relevant material in constrained optimization, including nonlinear programming; discretization techniques appropriate for ordinary differential equations and differential-algebraic equations; and several examples and descriptions of computational algorithm formulations that implement this discretize-then-optimize strategy. The third edition has been thoroughly updated and includes new material on implicit Runge–Kutta discretization techniques, new chapters on partial differential equations and delay equations, and more than 70 test problems and open source FORTRAN code for all of the problems. This book will be valuable for academic and industrial research and development in optimal control theory and applications. It is appropriate as a primary or supplementary text for advanced undergraduate and graduate students.
Practical Methods for Optimal Control and Estimation Using Nonlinear Programming
Practical Methods for Optimal Control and Estimation Using Nonlinear Programming - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Methods for Optimal Control and Estimation Using Nonlinear Programming write by John T. Betts. This book was released on 2010-01-01. Practical Methods for Optimal Control and Estimation Using Nonlinear Programming available in PDF, EPUB and Kindle. The book describes how sparse optimization methods can be combined with discretization techniques for differential-algebraic equations and used to solve optimal control and estimation problems. The interaction between optimization and integration is emphasized throughout the book.
Practical Methods for Optimal Control and Estimation Using Nonlinear Programming
Practical Methods for Optimal Control and Estimation Using Nonlinear Programming - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Methods for Optimal Control and Estimation Using Nonlinear Programming write by John T. Betts. This book was released on 2010-01-01. Practical Methods for Optimal Control and Estimation Using Nonlinear Programming available in PDF, EPUB and Kindle. A focused presentation of how sparse optimization methods can be used to solve optimal control and estimation problems.
A Variational Approach to Optimal Control of ODEs
A Variational Approach to Optimal Control of ODEs - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Variational Approach to Optimal Control of ODEs write by Pablo Pedregal. This book was released on 2022-07-26. A Variational Approach to Optimal Control of ODEs available in PDF, EPUB and Kindle. This self-contained book presents in a unified, systematic way the basic principles of optimal control governed by ODEs. Using a variational perspective, the author incorporates important restrictions like constraints for control and state, as well as the state system itself, into the equivalent variational reformulation of the problem. The fundamental issues of existence of optimal solutions, optimality conditions, and numerical approximation are then examined from this variational viewpoint. Inside, readers will find a unified approach to all the basic issues of optimal control, academic and real-world examples testing the book’s variational approach, and a rigorous treatment stressing ideas and arguments rather than the underlying mathematical formalism. A Variational Approach to Optimal Control of ODEs is mainly for applied analysts, applied mathematicians, and control engineers, but will also be helpful to other scientists and engineers who want to understand the basic principles of optimal control governed by ODEs. It requires no prerequisites in variational problems or expertise in numerical approximation. It can be used for a first course in optimal control.
Business Dynamics Models
Business Dynamics Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Business Dynamics Models write by Eugenius Kaszkurewicz . This book was released on 2022-11-24. Business Dynamics Models available in PDF, EPUB and Kindle. This book introduces optimal control methods, formulated as optimization problems, applied to business dynamics problems. Business dynamics refers to a combination of business management and financial objectives embedded in a dynamical system model. The model is subject to a control that optimizes a performance index and takes both management and financial aspects into account. Business Dynamics Models: Optimization-Based One Step Ahead Optimal Control includes solutions that provide a rationale for the use of optimal control and guidelines for further investigation into more complex models, as well as formulations that can also be used in a so-called flight simulator mode to investigate different complex scenarios. The text offers a modern programming environment (Jupyter notebooks in JuMP/Julia) for modeling, simulation, and optimization, and Julia code and notebooks are provided on a website for readers to experiment with their own examples. This book is intended for students majoring in applied mathematics, business, and engineering. The authors use a formulation-algorithm-example approach, rather than the classical definition-theorem-proof, making the material understandable to senior undergraduates and beginning graduates.
