Logo

The Analysis of Feedback Systems

Large book cover: The Analysis of Feedback Systems

The Analysis of Feedback Systems
by

Publisher: The MIT Press
ISBN/ASIN: 0262731606
ISBN-13: 9780262731607
Number of pages: 100

Description:
This monograph is an attempt to develop further and refine methods based on input -output descriptions for analyzing feedback systems. Contrary to previous work in this area, the treatment heavily emphasizes and exploits the causality of the operators involved. This brings the work into closer contact with the theory of dynamical systems and automata.

Home page url

Download or read it online for free here:
Download link
(7.3MB, 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.
(8340 views)
Book cover: An Introduction to Intelligent and Autonomous ControlAn Introduction to Intelligent and Autonomous Control
by - Kluwer Academic Publishers
An introduction to the field of intelligent control with a broad treatment of topics by several authors (including hierarchical / distributed intelligent control, fuzzy control, expert control, neural networks, planning systems, and applications).
(1317 views)
Book cover: An Introduction to Nonlinearity in Control SystemsAn Introduction to Nonlinearity in Control Systems
by - BookBoon
The book is concerned with the effects of nonlinearity in feedback control systems and techniques which can be used to design feedback loops containing nonlinear elements. The material is of an introductory nature but hopefully gives an overview.
(6481 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.
(4122 views)