Grey-box Identification of Distributed Parameter Systems

Grey-box Identification of Distributed Parameter Systems
Author :
Publisher :
Total Pages : 305
Release :
ISBN-10 : 9171780645
ISBN-13 : 9789171780645
Rating : 4/5 (645 Downloads)

Book Synopsis Grey-box Identification of Distributed Parameter Systems by : Yi Liu

Download or read book Grey-box Identification of Distributed Parameter Systems written by Yi Liu and published by . This book was released on 2005 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Grey-box Identification of Distributed Parameter Systems Related Books

Grey-box Identification of Distributed Parameter Systems
Language: en
Pages: 305
Authors: Yi Liu
Categories:
Type: BOOK - Published: 2005 - Publisher:

DOWNLOAD EBOOK

Practical Grey-box Process Identification
Language: en
Pages: 363
Authors: Torsten P. Bohlin
Categories: Technology & Engineering
Type: BOOK - Published: 2006-09-07 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book reviews the theoretical fundamentals of grey-box identification and puts the spotlight on MoCaVa, a MATLAB-compatible software tool, for facilitating
Optimal Measurement Methods for Distributed Parameter System Identification
Language: en
Pages: 392
Authors: Dariusz Ucinski
Categories:
Type: BOOK - Published: 2019-08-30 - Publisher: CRC Press

DOWNLOAD EBOOK

For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either li
Distributed Parameter Systems: Modelling and Identification
Language: en
Pages: 472
Authors: A. Ruberti
Categories: Computers
Type: BOOK - Published: 1978-03 - Publisher: Springer

DOWNLOAD EBOOK

Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems
Language: en
Pages: 175
Authors: Han-Xiong Li
Categories: Mathematics
Type: BOOK - Published: 2011-02-24 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The purpose of this volume is to provide a brief review of the previous work on model reduction and identifi cation of distributed parameter systems (DPS), and