2 edition of Optimal control. found in the catalog.
by Holt, Rinehart and Winston
Written in English
|The Physical Object|
|Number of Pages||242|
Problem formulation; Conditions of optimality for the basic problem; Some necessary and some sufficient conditions for nonlinear programming problems; Discrete optimal control problems; Optimal control and linear programming; Optimal control and quadratic programming; Convex programming algorithms; Free-end-time optimal control problems. This book presents numerous applications to real world systems from various industries, including aerospace, and discusses the design of subsystem-level optimal filters. Organized into independent chapters for easy access to the material, this text also contains several case studies, examples, exercises, computer assignments, and formulations Cited by:
Another great book is "Optimal control theory: An introduction to the theory and its applications" by Peter Falb and Michael Athans, also published by Dover. Also, I would recommend looking at the videos of the edX course "Underactuated Robotics", taught by professor Russ Tedrake of MIT. The leading and most up-to-date textbook on the far-ranging algorithmic methododogy of Dynamic Programming, which can be used for optimal control, Markovian decision problems, planning and sequential decision making under uncertainty, and discrete/combinatorial optimization.
About this book A NEW EDITION OF THE CLASSIC TEXT ON OPTIMAL CONTROL THEORY As a superb introductory text and an indispensable reference, this new edition of Optimal Control will serve the needs of both the professional engineer and the advanced student in mechanical, electrical, and aerospace engineering. An original feature is the amount of space devoted to the important and fascinating subject of optimal control. The work is divided into two parts. Part one deals with the control of linear time-continuous systems, using both transfer function and state-space methods.
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Nothing compares to the Bible of Optimal control. We used this book for half of the semester, but covered the entire book (the first half was spend on the linear algebra requirements such stability, Jordan Canonical Mappings, etc. etc.) Masada is fantastic teacher, but his course is brutally demanding.
Lewis lacks insight. Yes, it cover the Cited by: If you want to understand the theory behind optimal control, this is the book you are looking for.
Differently from other enginnering book about the argument, here, calculus of variation is fully explained from the root. It extends till Pontryagin's minimum principle and beyond. Very very good for an intricated argument like this!Cited by: Optimal control methods are used to determine optimal ways to control a dynamic system.
The theoretical work in this field serves as a foundation for the book, which the author has applied to business management problems developed from his research and classroom instruction. The new edition has been completely refined and brought up to by: Optimal Control book. Read reviews from world’s largest community for readers.
This improved, revised and updated edition contains new chapters on the ho /5(5). Optimal Control: Basics and Beyond / Edition 1.
by Peter Whittle, Whittle | Read Reviews. This is the first book-length treatment of risk-sensitive control,with many new results. The quadratic cost function of the standardLQG (linear/quadratic/Gaussian) treatment is replaced by theexponential of a quadratic, giving the so-called LEQG Price: $ Books shelved as optimal-control: Optimal Control by Richard B.
Vinter, Optimal Control by V.M. Alekseev, Zhou: Robust Optimal Control _p1 by Kemin Zhou. About this book February 27 - March 1,the conference Optimal Control: The ory, Algorithms, and Applications took place at the University of Florida, hosted by the Center for Applied Optimization.
Optimal Control brings together many of the important advances in 'nonsmooth' optimal control over the last several decades concerning necessary conditions, minimizer regularity, and global. great introduction to the optimal control theory, with lots of examples it makes the reader to get the intuition of the regarding mathematical /5(5).
Optimal Control Theory Version By Lawrence C. Evans Department of Mathematics ∈ A. Such a control α∗() is called optimal. This task presents us with these mathematical issues: (i) Does an optimal control exist. (ii) How can we characterize an optimal control mathematically.
The next example is from Chapter 2 of the book Caste File Size: KB. A NEW EDITION OF THE CLASSIC TEXT ON OPTIMAL CONTROL THEORY As a superb introductory text and an indispensable reference, this new edition of Optimal Control will serve the needs of both the professional engineer and the advanced student in mechanical, electrical, and aerospace engineering.
Its coverage encompasses all the fundamental topics as well as the major changes that have occurred in. Optimal control techniques are being used for years in designing optimal chemotherapies in HIV [34,35] and cancer , in optimal vaccination and treatment for epidemics [40, The book introduces stochastic optimal control concepts for application to actual problems with sufficient theoretical background to justify their use, but not enough to get bogged down in the by: Warning - a good dose of linear algebra is a prerequisite for much of this stuff.
I am no expert by any stretch of the imagination but I will share what I do know. I am more or less a programmer - much more than a math geek (oh I wish I were th. OPTIMAL CONTROL AND ESTIMATION a book by Robert F. Stengel. from the back cover: "An excellent introduction to optimal control and estimation theory and its relationship with LQG design.
invaluable as a reference for those already familiar with the subject."Automatica. As a superb introductory text and an indispensable reference, this new edition of Optimal Control will serve the needs of both the professional engineer and the advanced student in mechanical, electrical, and aerospace engineering.
Its coverage encompasses all the fundamental topics as well as the major changes that have occurred in recent years.
The book is composed of invited contributions by experts from around the world who work with optimization and optimal control either at a theoretical level or in practice.
Some key topics presented include: equilibrium problems, stochastic processes, decision algorithms, scheduling, queuing theory, quantum computing, agriculture, and industrial. Optimal Control assumes a background in the state-variable representation of systems; because matrix manipulations are the basic mathematical vehicle of the book, a short review is included in the 5/5(1).
The purpose of the book is to consider large and challenging multistage decision problems, which can be solved in principle by dynamic programming and optimal control, but their exact solution is computationally intractable.
We discuss solution methods that rely on approximations to produce suboptimal policies with adequate performance. Optimal control theory is the science of maximizing the returns from and minimizing the costs of the operation of physical, social, and economic processes.
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.
Chapters 1 and 2 focus on. Optimal Control Theory, An Introduction book. Read reviews from world’s largest community for readers. Geared toward upper-level undergraduates, this tex 4/5.Optimal control is an extension of the calculus of variations, and is a mathematical optimization method for deriving control policies.
The method is largely due to the work of Lev Pontryagin and Richard Bellman in the s, after contributions to calculus of variations by Edward J. McShane.For greater economy and elegance, optimal control theory is introduced directly, without recourse to the calculus of variations.
The connection with the latter and with dynamic programming is explained in a separate chapter. A second purpose of the book is to draw the parallel between optimal control theory and static optimization.