This text builds on Butkovsky and Lions texts which were written in the late 1960s, and addresses more recent developments in optimal control of distributed parameter systems with controls appearing in the system coefficients, linear and nonlinear hyperbolic systems, general linear evolution equations amenable to semigroup approach, and nonlinear evolution equations on Banach space.

Optimal control of distributed parameter systems

Science & Math

Ahmed, N. U.

Teo, K. L.

Mathematics

Elsevier Science Ltd.

<p>The ONLY book with 3 full-length, 4-hour exams, plus 12 comprehensive reviews for the AM portion of the FE(EIT). Step-by-step explanations are presented. Knowledge of the first 90 semester credit hours of a typical engineering program are tested. Thorough reviews are provided for all areas tested on the FE, including the two new sections, Computers and Ethics. For engineering students who are pursuing an 'Engineer-in- Training' certification.<br></p>

FE - EIT: AM (Engineer in Training Exam) w/CD-ROM (Engineering (FE/EiT) Test Preparation)

Test Preparation

Cimbala, John M.

Samples, J. W.

Engineering Study Guides

Al-Khafaji, A.

Balachandran, S.

Friel, L.

Gerez, V.

Huddleston, T.

Ibrahim, R. A.

Kaw, A. K.

Malasri, S.

Muller, M. R.

Ottenstein, Jonathan

Ozokwelu, E.

Purandare, Y. K.

Raus M.S., Randall

Ray, G.

Rikli, N. E.

Simonson, L.

Professional

Research & Education Association

FE - EIT: AM (Engineer in Training Exam) (Engineering (FE/EiT) Test Preparation)

Optimal Control of Dynamic Systems Driven by Vector Measures: Theory and Applications

Wang, Shian

Reference

Springer

Measure-Valued Solutions for Nonlinear Evolution Equations on Banach Spaces and Their Optimal Control

The book combines both rigor and intuition to derive most of the classical results of linear and nonlinear filtering and beyond. Many fundamental results recently discovered by the author are included. Furthermore, many results that have appeared in recent years in the literature are also presented. The most interesting feature of the book is that all the derivations of the linear filter equations given in Chapters 3-11, beginning from the classical Kalman filter presented in Chapters 3 and 5, are based on one basic principle which is fully rigorous but also very intuitive and easily understandable. The second most interesting feature is that the book provides a rigorous theoretical basis for the numerical solution of nonlinear filter equations illustrated by multidimensional examples. The book also provides a strong foundation for theoretical understanding of the subject based on the theory of stochastic differential equations.

Linear & Nonlinear Filtering for Engineers & Scientists (Applied Mathematics)

World Scientific Pub Co Inc

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