Analysis And Control Of Nonlinear Infinite Dimensional Systems


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Analysis and Control of Nonlinear Infinite Dimensional Systems


Analysis and Control of Nonlinear Infinite Dimensional Systems

Author: Barbu

language: en

Publisher: Academic Press

Release Date: 1992-11-26


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Analysis and Control of Nonlinear Infinite Dimensional Systems

Analysis and Control of Nonlinear Systems


Analysis and Control of Nonlinear Systems

Author: Jean Levine

language: en

Publisher: Springer Science & Business Media

Release Date: 2009-05-28


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This book examines control of nonlinear systems. Coverage ranges from mathematical system theory to practical industrial control applications. The author offers web-based videos illustrating some dynamical aspects and case studies in simulation.

Stochastic Optimal Control in Infinite Dimension


Stochastic Optimal Control in Infinite Dimension

Author: Giorgio Fabbri

language: en

Publisher: Springer

Release Date: 2017-06-22


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Providing an introduction to stochastic optimal control in infinite dimension, this book gives a complete account of the theory of second-order HJB equations in infinite-dimensional Hilbert spaces, focusing on its applicability to associated stochastic optimal control problems. It features a general introduction to optimal stochastic control, including basic results (e.g. the dynamic programming principle) with proofs, and provides examples of applications. A complete and up-to-date exposition of the existing theory of viscosity solutions and regular solutions of second-order HJB equations in Hilbert spaces is given, together with an extensive survey of other methods, with a full bibliography. In particular, Chapter 6, written by M. Fuhrman and G. Tessitore, surveys the theory of regular solutions of HJB equations arising in infinite-dimensional stochastic control, via BSDEs. The book is of interest to both pure and applied researchers working in the control theory of stochastic PDEs, and in PDEs in infinite dimension. Readers from other fields who want to learn the basic theory will also find it useful. The prerequisites are: standard functional analysis, the theory of semigroups of operators and its use in the study of PDEs, some knowledge of the dynamic programming approach to stochastic optimal control problems in finite dimension, and the basics of stochastic analysis and stochastic equations in infinite-dimensional spaces.