System Identification



Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches (Signals and Communication Technology)

Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches introduces engineers and researchers to the field of nonlinear adaptive system identification. The book

Dynamic System Identification. Experiment Design and Data Analysis. Mathematics in Science and Engineering, Volume 136

This book is devoted to the theory of mathematical model building, using experimental data. There are many situations where accurate mathematical models of real systems are desirable. For example

Modeling and Identification of Linear Parameter-Varying Systems (Lecture Notes in Control and Information Sciences)

missing details of LPV system theory that have hindered the formulation of a well established identification framework. By proposing a unified LPV system theory, based on a behavioral approach, the concepts

Face Biometrics for Personal Identification: Multi-Sensory Multi-Modal Systems (Signals and Communication Technology)

a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits including facial geometry, 3D ear form

Modelling, Simulation and Identification

planning. New techniques in signal processing, adaptive control, non-linear system identification, multi-agent simulation, eigenvalue analysis, risk assessment, modeling of dynamic systems, finite difference

Multibiometrics for Human Identification

Product Description: In today's security-conscious society, real-world applications for authentication or identification require a highly accurate system for recognizing individual humans

Theory and Practice of Recursive Identification

Methods of recursive identification deal with the problem of building mathematical models of signals and systems on-line, at the same time as data is being collected. Such methods, which are also

Process Modelling, Identification, and Control

, it includes a range of methods for the analysis and design of control systems.


From Plant Data to Process Control: Ideas for Process Identification and PID Design (The Taylor & Francis Systems and Control Book Series, Vol. 11)

variety of implementations.
Reviews
A very practical approach for system identification techniques Using Laguerre Models with an appropriated mathematical support
Reviews


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