A Practical Guide to Geometric Regulation for Distributed Parameter Systems
A Practical Guide to Geometric Regulation for Distributed Parameter Systems provides an introduction to geometric control design methodologies for asymptotic tracking and disturbance rejection of infinite-dimensional systems. The book also introduces several new control algorithms inspired by geometric invariance and asymptotic attraction for a wid
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A Practical Guide to Geometric Regulation for Distributed Parameter Systems
A Practical Guide to Geometric Regulation for Distributed Parameter Systems provides an introduction to geometric control design methodologies for asymptotic tracking and disturbance rejection of infinite-dimensional systems. The book also introduces several new control algorithms inspired by geometric invariance and asymptotic attraction for a wid
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A Practical Guide to Geometric Regulation for Distributed Parameter Systems

A Practical Guide to Geometric Regulation for Distributed Parameter Systems

A Practical Guide to Geometric Regulation for Distributed Parameter Systems

A Practical Guide to Geometric Regulation for Distributed Parameter Systems

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$210.00 

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Overview

A Practical Guide to Geometric Regulation for Distributed Parameter Systems provides an introduction to geometric control design methodologies for asymptotic tracking and disturbance rejection of infinite-dimensional systems. The book also introduces several new control algorithms inspired by geometric invariance and asymptotic attraction for a wid

Product Details

ISBN-13: 9781040213957
Publisher: CRC Press
Publication date: 06/18/2015
Series: Chapman & Hall/CRC Monographs and Research Notes in Mathematics
Sold by: Barnes & Noble
Format: eBook
Pages: 294
File size: 10 MB

About the Author

Eugenio Aulisa is an associate professor in the Department of Mathematics and Statistics at Texas Tech University, Lubbock, USA. His primary research interests are in computational fluid mechanics, modeling and simulation of multiphase flows, fluid-structure interaction problems, non-linear analysis of fluid flow filtration in porous media, and multigrid solvers with domain decomposition methods. He holds a Ph.D in energetic, nuclear, and environmental control engineering from the University of Bologna, Italy.

David Gilliam is a professor in the Department of Mathematics and Statistics at Texas Tech University, Lubbock, USA. He also has held visiting and/or affiliate positions at Arizona State University, Tempe, USA; Colorado School of Mines, Golden, USA; University of Texas at Dallas, Richardson, USA; and Washington University in St. Louis, Missouri, USA. His current research interests are in the control of distributed parameter systems governed by partial differential equations. He holds a Ph.D from the University of Utah, Salt Lake City, USA.

Table of Contents

Regulation for Linear Systems. Regulation: Bounded Input and Output Operators. Linear Regulation with Unbounded Control and Sensing. Examples Linear Regulation. Regulation for Nonlinear Systems. Nonlinear Distributed Parameter Systems. Nonlinear Examples.
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