Optimal control. by Rufus Oldenburger

Cover of: Optimal control. | Rufus Oldenburger

Published by Holt, Rinehart and Winston .

Written in English

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Book details

The Physical Object
Pagination242p.,ill.,24cm
Number of Pages242
ID Numbers
Open LibraryOL19235702M

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Nothing compares to the Bible of Optimal Optimal control. book. 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: Optimal control. book 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 Optimal control. book 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 Optimal control. book 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 [35][36][37][38][39], 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.

A rigorous introduction to optimal control theory, with an emphasis on applications in economics. This book bridges optimal control theory and economics, discussing ordinary differential equations, optimal control, game theory, and mechanism design in one volume.

Technically rigorous and largely self-contained, it provides an introduction to the use of optimal control theory for deterministic. 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 /5(5). 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.

AGEC Lectures in Dynamic Optimization Optimal Control and Numerical Dynamic Programming Richard T. Woodward, Department of Agricultural Economics, Texas A&M University. The following lecture notes are made available for students in AGEC and other interested readers.

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 rs 1 and 2 focus on.

It also treats both continuous-time and discrete-time optimal control systems, giving students a firm grasp on both methods. Among this book's most outstanding features is a summary table that accompanies each topic or problem and includes a statement of the problem with a step-by-step solution.

The theory of optimal control systems has grown and flourished since the 's. Many texts, written on varying levels of sophistication, have been published on the subject.

Yet even those purportedly designed for beginners in the field are often riddled with complex theorems, and many treatments fail to include topics that are essential to a thorough grounding in the various aspects of and.

Optimal Control Theory for Applications (Mechanical Engineering Series), David G. Hull Modern Control Engineering (5th Edition), Katsuhiko Ogata There is even a Schaum's Outline and a Problem Solver (REA) on Automatic Control (not sure they are exactly what you.

Cooperative Control of Multi-Agent Systems: An Optimal and Robust Perspective reports and encourages technology transfer in the field of cooperative control of multi-agent systems. The book deals with UGVs, UAVs, UUVs and spacecraft, and more. It presents an extended exposition of the authors’ recent work on all aspects of multi-agent technology.

The first basic ingredient of an optimal control problem is a control system. It generates possible behaviors. In this book, control systems will be described.

4 CHAPTER 1. INTRODUCTION TO OPTIMAL CONTROL One of the real problems that inspired and motivated the study of optimal control problems is the next and so called \moonlanding problem".

Example The moonlanding problem. Consider the problem of a spacecraft attempting to make a soft landing on the moon using a minimum amount of Size: 2MB. Material is an up-to-date treatment of optimal control problems which have thus far been difficult to solve; Applications selected have major current interest: routing in communications networks, freeway traffic control, water resources management, etc Authors with backgrounds in automatic control, systems theory and operations research lend the book a breadth of approach which makes the.

Optimal Control Theory Emanuel Todorov University of California San Diego Optimal control theory is a mature mathematical discipline with numerous applications in both science and engineering.

It is emerging as the computational framework of choice for studying the neural control of movement, in much the same way that probabilistic infer.Browse other questions tagged reference-request optimization book-recommendation control-theory optimal-control or ask your own question.

The Overflow Blog How the pandemic changed traffic trends from M visitors across Stack.The analysis is largely self-contained and incorporates many of the simplifications and unifying features of optimal control revealed by recent research.\" \"This book is an essential resource for those who need to know about optimal control and its applications.

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