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The Robust Maximum Principle

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Release : 2011-11-01
Genre :
Kind : eBook
Book Rating : 531/5 ( reviews)

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Book Synopsis The Robust Maximum Principle by :

Download or read book The Robust Maximum Principle written by . This book was released on 2011-11-01. Available in PDF, EPUB and Kindle. Book excerpt:

The Robust Maximum Principle

Download The Robust Maximum Principle PDF Online Free

Author :
Release : 2011-11-06
Genre : Science
Kind : eBook
Book Rating : 523/5 ( reviews)

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Book Synopsis The Robust Maximum Principle by : Vladimir G. Boltyanski

Download or read book The Robust Maximum Principle written by Vladimir G. Boltyanski. This book was released on 2011-11-06. Available in PDF, EPUB and Kindle. Book excerpt: Covering some of the key areas of optimal control theory (OCT), a rapidly expanding field, the authors use new methods to set out a version of OCT’s more refined ‘maximum principle.’ The results obtained have applications in production planning, reinsurance-dividend management, multi-model sliding mode control, and multi-model differential games. This book explores material that will be of great interest to post-graduate students, researchers, and practitioners in applied mathematics and engineering, particularly in the area of systems and control.

New Perspectives and Applications of Modern Control Theory

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Release : 2017-09-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 644/5 ( reviews)

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Book Synopsis New Perspectives and Applications of Modern Control Theory by : Julio B. Clempner

Download or read book New Perspectives and Applications of Modern Control Theory written by Julio B. Clempner. This book was released on 2017-09-30. Available in PDF, EPUB and Kindle. Book excerpt: This edited monograph contains research contributions on a wide range of topics such as stochastic control systems, adaptive control, sliding mode control and parameter identification methods. The book also covers applications of robust and adaptice control to chemical and biotechnological systems. This collection of papers commemorates the 70th birthday of Dr. Alexander S. Poznyak.

Robust Output LQ Optimal Control via Integral Sliding Modes

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Release : 2014-07-08
Genre : Science
Kind : eBook
Book Rating : 62X/5 ( reviews)

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Book Synopsis Robust Output LQ Optimal Control via Integral Sliding Modes by : Leonid Fridman

Download or read book Robust Output LQ Optimal Control via Integral Sliding Modes written by Leonid Fridman. This book was released on 2014-07-08. Available in PDF, EPUB and Kindle. Book excerpt: Featuring original research from well-known experts in the field of sliding mode control, this book presents new design schemes for a useful and practical optimal control with very few impractical assumptions. The results presented allow optimal control theory to grow in its applicability to real-world systems. On the cutting-edge of optimal control research, this book is an excellent resource for both graduate students and researchers in engineering, mathematics, and optimal control.

Advanced Mathematical Tools for Automatic Control Engineers: Volume 2

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Release : 2009-08-13
Genre : Technology & Engineering
Kind : eBook
Book Rating : 039/5 ( reviews)

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Book Synopsis Advanced Mathematical Tools for Automatic Control Engineers: Volume 2 by : Alexander S. Poznyak

Download or read book Advanced Mathematical Tools for Automatic Control Engineers: Volume 2 written by Alexander S. Poznyak. This book was released on 2009-08-13. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Mathematical Tools for Automatic Control Engineers, Volume 2: Stochastic Techniques provides comprehensive discussions on statistical tools for control engineers. The book is divided into four main parts. Part I discusses the fundamentals of probability theory, covering probability spaces, random variables, mathematical expectation, inequalities, and characteristic functions. Part II addresses discrete time processes, including the concepts of random sequences, martingales, and limit theorems. Part III covers continuous time stochastic processes, namely Markov processes, stochastic integrals, and stochastic differential equations. Part IV presents applications of stochastic techniques for dynamic models and filtering, prediction, and smoothing problems. It also discusses the stochastic approximation method and the robust stochastic maximum principle. Provides comprehensive theory of matrices, real, complex and functional analysis Provides practical examples of modern optimization methods that can be effectively used in variety of real-world applications Contains worked proofs of all theorems and propositions presented

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