Free shipping on all orders over $79* Limited Time Only
Track My Order
Help Centre
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Get Free Shipping on orders over $79
Identification of Continuous-time Models from Sampled Data - Hugues Garnier

Identification of Continuous-time Models from Sampled Data

By: Hugues Garnier, Liuping Wang

eText | 13 March 2008 | Edition Number 1

At a Glance

eText

$369.01

or 4 interest-free payments of $92.25 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.
System identification is an established field in the area of system analysis and control. It aims to determine particular models for dynamical systems based on observed inputs and outputs. Although dynamical systems in the physical world are naturally described in the continuous-time domain, most system identification schemes have been based on discrete-time models without concern for the merits of natural continuous-time model descriptions. The continuous-time nature of physical laws, the persistent popularity of predominantly continuous-time proportional-integral-derivative control and the more direct nature of continuous-time fault diagnosis methods make continuous-time modeling of ongoing importance.

Identification of Continuous-time Models from Sampled Data brings together contributions from well-known experts who present an up-to-date view of this active area of research and describe recent methods and software tools developed in this field. They offer a fresh look at and new results in areas such as:

a [ time and frequency domain optimal statistical approaches to identification;

a [ parametric identification for linear, nonlinear and stochastic systems;

a [ identification using instrumental variable, subspace and data compression methods;

a [ closed-loop and robust identification; and

a [ continuous-time modeling from non-uniformly sampled data and for systems with delay.

The CONtinuous-Time System IDentification (CONTSID) toolbox described in the book gives an overview of developments and practical examples in which MATLABA(R) can be brought to bear in the cause of direct time-domain identification of continuous-time systems.This survey of methods andresults in continuous-time system identification will be a valuable reference for a broad audience drawn from researchers and graduate students in signal processing as well as in systems and control. It also covers comprehensive material suitable for specialised graduate courses in these areas.

on
Desktop
Tablet
Mobile

You Can Find This eBook In

Non-FictionComputing & I.T.Graphical & Digital Media Applications3D Graphics & ModellingMathematicsProbability & StatisticsReference, Information & Interdisciplinary SubjectsResearch & InformationInformation theoryCybernetics & Systems TheoryEngineering & TechnologyEnergy Technology & Engineering
Electrical EngineeringTechnology in GeneralEngineering in GeneralMechanical Engineering & MaterialsMechanical EngineeringElectronics & Communications EngineeringElectronics EngineeringAutomatic Control EngineeringRoboticsComputer ScienceComputer Architecture & Logic DesignSciencePhysicsClassical Mathematics

Other Editions and Formats

Paperback

Published: 21st October 2010

View Product

More in Computer Architecture & Logic Design

Quantum Computing - Alex Wood

eBOOK

Quantum Computing

eBook

$15.99

Think Distributed Systems - Dominik Tornow

eBOOK

Think Distributed Systems

eBook

$44.99

This product is categorised by