Logo

Control in an Information Rich World

Large book cover: Control in an Information Rich World

Control in an Information Rich World
by

Publisher: Society for Industrial Mathematics
ISBN/ASIN: 0898715288
ISBN-13: 9780898715286
Number of pages: 112

Description:
This report spells out some of the prospects for control in the current and future technological environment; describes the role the field will play in military, commercial, and scientific applications over the next decade; and recommends actions required to enable new breakthroughs in engineering and technology through the application of control research.

Home page url

Download or read it online for free here:
Download link
(2.9MB, PDF)

Similar books

Book cover: Linear Controller Design: Limits of PerformanceLinear Controller Design: Limits of Performance
by - Prentice-Hall
The book is motivated by the development of high quality integrated sensors and actuators, powerful control processors, and hardware and software that can be used to design control systems. Written for students and industrial control engineers.
(12999 views)
Book cover: Stochastic Modeling and ControlStochastic Modeling and Control
by - InTech
The book provides a self-contained treatment on practical aspects of stochastic modeling and calculus including applications in engineering, statistics and computer science. Readers should be familiar with probability theory and stochastic calculus.
(9265 views)
Book cover: Control and NonlinearityControl and Nonlinearity
by - American Mathematical Society
This book presents methods to study the controllability and the stabilization of nonlinear control systems in finite and infinite dimensions. Examples are given where nonlinearities turn out to be essential to get controllability or stabilization.
(12066 views)
Book cover: Adaptive ControlAdaptive Control
by - InTech
This book discusses the issues of adaptive control application to model generation, adaptive estimation, output regulation and feedback, electrical drives, optical communication, neural estimator, simulation and implementation.
(19272 views)