3 edition of **Principles of optimal control theory** found in the catalog.

Principles of optimal control theory

R. V. Gamkrelidze

- 388 Want to read
- 36 Currently reading

Published
**1978**
by Plenum Press in New York
.

Written in English

- Control theory.,
- Mathematical optimization.

**Edition Notes**

Statement | R. V. Gamkrelidze ; translated from Russian by Karol Makowski ; translation editor, Leonard D. Berkovitz. |

Series | Mathematical concepts and methods in science and engineering ;, v. 7, Mathematical concepts and methods in science and engineering ;, 7. |

Classifications | |
---|---|

LC Classifications | QA402.3 .G3513 |

The Physical Object | |

Pagination | xii, 175 p. ; |

Number of Pages | 175 |

ID Numbers | |

Open Library | OL4543484M |

ISBN 10 | 0306309777 |

LC Control Number | 77010742 |

The book is primarily meant for a reader who would like to master the basics of discrete optimal control theory in depth. Unlike in many other textbooks presenting concepts and principles in a rather intuitive level, this book strives for mathematical rigor and all crucial conclusions. Another example of the usage of the optimal control theory is the solving the costate or shadow price. It consists of the marginal value of expanding the state variable. Having solved that, the optimal value for the control can form a differential equation conditional on the awareness of the costate.

Summary. Nonlinear Optimal Control Theory presents a deep, wide-ranging introduction to the mathematical theory of the optimal control of processes governed by ordinary differential equations and certain types of differential equations with memory. Many examples illustrate the mathematical issues that need to be addressed when using optimal control techniques in diverse areas. The concept of a system as an entity in its own right has emergedwith increasing force in the past few decades in, for example, theareas of electrical and control engineering, economics, ecology,urban structures, automaton theory, operational research andindustry. The more definite concept of a large-scale system isimplicit in these applications, but is particularly evident infields such as.

'Principles of Optimal Design, third edition, offers an excellent combination of depth and breadth of fundamentals of mathematical modeling of systems design. Students and practitioners will find the textbook a great starting point to learn about the systems design methods and optimization theories from the fundamentals to the advanced Cited by: 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.

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West Lafayette, Indiana, USA Leonard D. Berkovitz Translation Editor Vll Preface This book is based on lectures I gave at the Tbilisi State University during the fall of It contains, in essence, the principles of general control theory and proofs of Principles of optimal control theory book maximum principle and Cited by: West Lafayette, Indiana, USA Leonard D.

Berkovitz Translation Editor Vll Preface This book is based on lectures I gave at the Tbilisi State University during the fall of It contains, in essence, the principles of general control theory and proofs of the maximum principle and.

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 Cited by: Principles of optimal control theory.

[R V Gamkrelidze] Home. WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search for Contacts Search for a Library. Create Book\/a>, schema:CreativeWork\/a> ; \u00A0\u00A0\u00A0\n bgn. Get this from a library.

Principles of Optimal Control Theory. [R V Gamkrelidze] -- In the late 's, the group of Soviet mathematicians consisting of L.S. Pontryagin, V.G. Boltyanskii, R.V. Gamkrelidze, and E.F. Mishchenko made fundamental contributions to optimal control theory. 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. Pontryagin's maximum principle is used in optimal control theory to find the best possible control for taking a dynamical system from one state to another, especially in the presence of constraints for the state or input controls.

It states that it is necessary for any optimal control along with the optimal state trajectory to solve the so-called Hamiltonian system, which is a two-point. Optimal Control Theory Version By Lawrence C.

Evans Department of Mathematics As we will see later in §, an optimal control The next example is from Chapter 2 of the book Caste and Ecology in Social Insects, by G.

Oster and E. Wilson [O-W]. We attempt to model how socialFile Size: KB. This course studies basic optimization and the principles of optimal control. It considers deterministic and stochastic problems for both discrete and continuous systems.

The course covers solution methods including numerical search algorithms, model predictive control, dynamic programming, variational calculus, and approaches based on Pontryagin's maximum principle, and it includes many. This new, updated edition of Optimal Control reflects major changes that have occurred in the field in recent years and presents, in a clear and direct way, the fundamentals of optimal control theory.

It covers the major topics involving measurement, principles of optimality, dynamic programming, variational methods, Kalman filtering, and other solution techniques.5/5(1). 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.

The conference brought together researchers from universities, industry, and government laborato ries in the. Introduction. The modern theory of optimal train control has been developed during the years – by the Scheduling and Control Group (SCG) at the University of South Australia in a collection of papers—listed in chronological order—by Cheng and Howlett (), Howlett and Cheng (), Howlett et al.

(), Howlett (, ), Howlett and Jiaxing (), Howlett and Cited by: entitled The Maximum Principle of Optimal Control: A History of Ingenious Ideas and Missed Opportunities [see Pesch and Plail ()], enriched by some anectodes.

The con-clusions therein and also here are extracted from the second author’s monograph on the development of optimal control theory from its commencements until it became an. Optimal control theory is a branch of applied mathematics that deals with finding a control law for a dynamical system over a period of time such that an objective function is optimized.

It has numerous applications in both science and engineering. For example, the dynamical system might be a spacecraft with controls corresponding to rocket thrusters, and the objective might be to reach the. Don't show me this again.

Welcome. This is one of over 2, courses on OCW. Find materials for this course in the pages linked along the left. MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum.

No enrollment or registration. 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/5(5).

There are lots of excellent introductory level books. My list would be: 1) "Modern Control Engineering", by Katsuhiko Ogata. This one is easily readable and can be the most appropriate book for starting to learn from scratch.

2) "Automatic Control. Other volumes in this series: Volume 8 A history of control engineering, – S. Bennett Volume 18 Applied control theory, 2nd edition J.R. Leigh Volume 20 Design of modern control systems D.J.

Bell, P.A. Cook and N. Munro (Editors) Volume 28 Robots and automated manufacture J. Billingsley (Editor) Volume 33 Temperature measurement and control J.R. LeighFile Size: 2MB. Control theory, field of applied mathematics that is relevant to the control of certain physical processes and systems.

Although control theory has deep connections with classical areas of mathematics, such as the calculus of variations and the theory of differential equations, it did not become a field in its own right until the late s and early s.

This book focuses on optimal control problems where the state equation is an elliptic or parabolic partial differential equation. Included are topics such as the existence of optimal solutions, necessary optimality conditions and adjoint equations, second-order sufficient conditions, and main principles of selected numerical techniques.

() Local Fields of Extremals for Optimal Control Problems with State Constraints of Relative Degree 1.

Journal of Dynamical and Control Systems() Global Optimisation in the power management of a Fuel Cell Hybrid Vehicle (FCHV).Cited by: 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.In addition to previous editions of Principles of Optimal Design, he has authored or co-authored the books Optimum Seeking Methods (), Foundations of Optimization (), Optimization and Design (), Globally Optimal Design (), and more recently Teamology () and Jung’s Personality Theory Quantified ().