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Can I read Optimal Control of Stochastic Difference Volterra Equations: An Introduction (Studies in Systems, Decision and Control, 17) on EtoBox?

Optimal Control of Stochastic Difference Volterra Equations: An Introduction (Studies in Systems, Decision and Control, 17) by Leonid Shaikhet is a nonfiction available to read on EtoBox.

What is Optimal Control of Stochastic Difference Volterra Equations: An Introduction (Studies in Systems, Decision and Control, 17) about?

This book showcases a subclass of hereditary systems, that is, systems with behaviour depending not only on their current state but also on their past history; it is an introduction to the mathematical theory of optimal control for stochastic difference Volterra equations of neutral type. As such, it will be of much interest to researchers interested in modelling processes in physics, mechanics, automatic regulation, economics and finance, biology, sociology and medicine for all of which such equations are very popular tools. The text deals with problems of optimal control such as meeting given performance criteria, and stabilization, extending them to neutral stochastic difference Volterra equations. In particular, it contrasts the difference analogues of solutions to optimal control and optimal estimation problems for stochastic integral Volterra equations with optimal solutions for corresponding problems in stochastic difference Volterra equations. Optimal Control of Stochastic Difference Volterra Equations commences with an historical introduction to the emergence of this type of equation with some additional mathematical preliminaries. It then deals with the necessary conditi

Who reads Optimal Control of Stochastic Difference Volterra Equations: An Introduction (Studies in Systems, Decision and Control, 17)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Leonid Shaikhet
Publisher
Springer Nature Switzerland AG
Published
2014
Language
EN
ISBN
9783319132396
Category
nonfiction
Subjects
Engineering, Mathematics, Science

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