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: Discrete-Event Control of Stochastic Networks: Multimodularity and RegularityDiscrete-Event Control of Stochastic Networks: Multimodularity and Regularity
by - Springer
Opening new directions in research in stochastic control, this book focuses on a wide class of control and of optimization problems over sequences of integer numbers. The theory is applied to the control of stochastic discrete-event dynamic systems.
(10425 views)
Book cover: High Performance ControlHigh Performance Control
by - Birkhauser
Using the tools of optimal control, robust control and adaptive control, the authors develop the theory of high performance control. Topics include performance enhancement, stabilizing controllers, offline controller design, and dynamical systems.
(13919 views)
Book cover: Control Theory with Applications to Naval HydrodynamicsControl Theory with Applications to Naval Hydrodynamics
by
The lectures present an introduction to modern control theory. Calculus of variations is used to study the problem of determining the optimal control for a deterministic system without constraints and for one with constraints.
(11375 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.
(9589 views)