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Identification of Dynamic Systems
Language: en
Pages: 705
Authors: Rolf Isermann, Marco Münchhof
Categories: Technology & Engineering
Type: BOOK - Published: 2010-11-22 - Publisher: Springer Science & Business Media

Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at
Modelling and Identification of Dynamic Systems
Language: en
Pages: 334
Authors: N.K. Sinha, B. Kuszta
Categories: Computers
Type: BOOK - Published: 1983-06-01 - Publisher: Springer

Books about Modelling and Identification of Dynamic Systems
Modeling and Identification of Dynamic Systems - Exercises
Language: en
Pages: 320
Authors: Peter Lindskog, Torkel Glad, Lennart Ljung, Jacob Roll
Categories: Computers
Type: BOOK - Published: 2018-06-08 - Publisher:

This book contains examples and exercises with modeling problems together with complete solutions. The contents is tailored to the book Ljung-Glad: Modeling and Identification of Dynamic Systems (Studentlitteratur, 2016). The exercises are of different levels of difficulty and cover general modeling principles (such as bond graphs) as well as practical
Modeling, Identification and Simulation of Dynamical Systems
Language: en
Pages: 208
Authors: P. P. J. van den Bosch, A. C. van der Klauw
Categories: Technology & Engineering
Type: BOOK - Published: 1994-07-15 - Publisher: CRC Press

This book gives an in-depth introduction to the areas of modeling, identification, simulation, and optimization. These scientific topics play an increasingly dominant part in many engineering areas such as electrotechnology, mechanical engineering, aerospace, and physics. This book represents a unique and concise treatment of the mutual interactions among these topics.
System Identification of Stochastic Nonlinear Dynamic Systems using Takagi-Sugeno Fuzzy Models
Language: en
Pages: 150
Authors: Salman Zaidi
Categories: Fuzzy systems
Type: BOOK - Published: 2019-02-22 - Publisher: kassel university press GmbH

Some novel approaches to estimate Nonlinear Output Error (NOE) models using TS fuzzy models for a class of nonlinear dynamic systems having variability in their outputs is presented in this dissertation. Instead of using unrealistic assumptions about uncertainty, the most common of which is normality, the proposed methodology tends to