Special Issue: "optimization and Optimal Control with Applications" for the 9th International Conference on Optimization: Techniques and Applications (9th ICOTA) PDF Download
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Languages : en
Pages : 272
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 272
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Author: S. Wang
Publisher:
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Category :
Languages : en
Pages :
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Author: American Institute of Mathematical Sciences
Publisher:
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Category :
Languages : en
Pages : 123
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Author:
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ISBN:
Category :
Languages : en
Pages : 194
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Book Description
Author: Dominique Bonvin
Publisher: MDPI
ISBN: 303842448X
Category : Electronic book
Languages : en
Pages : 255
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Book Description
This book is a printed edition of the Special Issue "Real-Time Optimization" that was published in Processes
Author: Guillermo Valencia-Palomo
Publisher: MDPI
ISBN: 3038974471
Category : Mathematics
Languages : en
Pages : 257
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Book Description
This book is a printed edition of the Special Issue "Optimization in Control Applications" that was published in MCA
Author: Francisco Ronay López-Estrada
Publisher:
ISBN: 9783038974482
Category : Electronic books
Languages : en
Pages : 1
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Book Description
Mathematical optimization is the selection of the best element in a set with respect to a given criterion. Optimization has become one of the most-used tools in modern control theory for computing the control law, adjusting the controller parameters (tuning), model fitting, and finding suitable conditions in order to fulfill a given closed-loop property, among others. In the simplest case, optimization consists of maximizing or minimizing a function by systematically choosing input values from a valid input set and computing the function value. Nevertheless, real-world control systems need to comply with several conditions and constraints that have to be taken into account in the problem formulation-these represent challenges in the application of the optimization algorithms. The aim of this Special Issue is to offer the state-of-the-art of the most advanced optimization techniques (online and offline) and their applications in control engineering.
Author: Liqun Qi
Publisher: Springer Science & Business Media
ISBN: 0387242554
Category : Mathematics
Languages : en
Pages : 587
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Book Description
A collection of 28 refereed papers grouped according to four broad topics: duality and optimality conditions, optimization algorithms, optimal control, and variational inequality and equilibrium problems. Suitable for researchers, practitioners and postgrads.
Author: Suresh P. Sethi
Publisher: Springer
ISBN: 3319982370
Category : Business & Economics
Languages : en
Pages : 577
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Book Description
This fully revised 3rd edition offers an introduction to optimal control theory and its diverse applications in management science and economics. It brings to students the concept of the maximum principle in continuous, as well as discrete, time by using dynamic programming and Kuhn-Tucker theory. While some mathematical background is needed, the emphasis of the book is not on mathematical rigor, but on modeling realistic situations faced in business and economics. The book exploits optimal control theory to the functional areas of management including finance, production and marketing and to economics of growth and of natural resources. In addition, this new edition features materials on stochastic Nash and Stackelberg differential games and an adverse selection model in the principal-agent framework. The book provides exercises for each chapter and answers to selected exercises to help deepen the understanding of the material presented. Also included are appendices comprised of supplementary material on the solution of differential equations, the calculus of variations and its relationships to the maximum principle, and special topics including the Kalman filter, certainty equivalence, singular control, a global saddle point theorem, Sethi-Skiba points, and distributed parameter systems. 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 date. Ultimately this should continue to be a valuable resource for graduate courses on applied optimal control theory, but also for financial and industrial engineers, economists, and operational researchers concerned with the application of dynamic optimization in their fields.
Author: Xiao-qi Yang
Publisher: Springer Science & Business Media
ISBN: 147573333X
Category : Computers
Languages : en
Pages : 439
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Book Description
This edited book is dedicated to Professor N. U. Ahmed, a leading scholar and a renowned researcher in optimal control and optimization on the occasion of his retirement from the Department of Electrical Engineering at University of Ottawa in 1999. The contributions of this volume are in the areas of optimal control, non linear optimization and optimization applications. They are mainly the im proved and expanded versions of the papers selected from those presented in two special sessions of two international conferences. The first special session is Optimization Methods, which was organized by K. L. Teo and X. Q. Yang for the International Conference on Optimization and Variational Inequality, the City University of Hong Kong, Hong Kong, 1998. The other one is Optimal Control, which was organized byK. ~Teo and L. Caccetta for the Dynamic Control Congress, Ottawa, 1999. This volume is divided into three parts: Optimal Control; Optimization Methods; and Applications. The Optimal Control part is concerned with com putational methods, modeling and nonlinear systems. Three computational methods for solving optimal control problems are presented: (i) a regularization method for computing ill-conditioned optimal control problems, (ii) penalty function methods that appropriately handle final state equality constraints, and (iii) a multilevel optimization approach for the numerical solution of opti mal control problems. In the fourth paper, the worst-case optimal regulation involving linear time varying systems is formulated as a minimax optimal con trol problem.
