Logo

Nonlinear System Theory: The Volterra/Wiener Approach

Small book cover: Nonlinear System Theory: The Volterra/Wiener Approach

Nonlinear System Theory: The Volterra/Wiener Approach
by

Publisher: The Johns Hopkins University Press
ISBN/ASIN: 0801825490
ISBN-13: 9780801825491
Number of pages: 338

Description:
Contents: Input/Output Representations in the Time Domain; Input/Output Representations in the Transform Domain; Obtaining Input/Output Representations from Differential-Equation Descriptions; Realization Theory; Response Characteristics of Stationary Systems; Discrete-Time Systems; Identification.

Download or read it online for free here:
Download link
(3.5MB, PDF)

Similar books

Book cover: Linear Matrix Inequalities in System and Control TheoryLinear Matrix Inequalities in System and Control Theory
by
The authors reduce a wide variety of problems arising in system and control theory to a handful of optimization problems that involve linear matrix inequalities. These problems can be solved using recently developed numerical algorithms.
(13203 views)
Book cover: Feedback Control TheoryFeedback Control Theory
by
The book presents a theory of feedback control systems. It captures the essential issues, can be applied to a wide range of practical problems, and is as simple as possible. Addressed to students who have had a course in signals and systems.
(16921 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.
(11885 views)
Book cover: Lectures on Stochastic Control and Nonlinear FilteringLectures on Stochastic Control and Nonlinear Filtering
by - Tata Institute of Fundamental Research
There are actually two separate series of lectures, on controlled stochastic jump processes and nonlinear filtering respectively. They are united however, by the common philosophy of treating Markov processes by methods of stochastic calculus.
(9544 views)