Identification of a physical system deals with the problem of identifying its mathematical model using the measured input and output data. As the physical system is generally complex, nonlinear, and its input output data is corrupted noise, there are fundamental theoretical and practical issues that need to be considered. Identification of Physical Systems addresses this need, presenting a systematic, unified approach to the problem of physical system identification and its practical applications. Starting with a least-squares method, the authors develop various schemes to address the issues of accuracy, variation in the operating regimes, closed loop, and interconnected subsystems. Also presented is a non-parametric signal or data-based scheme to identify a means to provide a quick macroscopic picture of the system to complement the precise microscopic picture given by the parametric model-based scheme. Finally, a sequential integration of totally different schemes, such as non-parametric, Kalman filter, and parametric model, is developed to meet the speed and accuracy requirement of mission-critical systems. Key features: Provides a clear understanding of theoretical and practical issues in identification and its applications, enabling the reader to grasp a clear understanding of the theory and apply it to practical problems Offers a self-contained guide by including the background necessary to understand this interdisciplinary subject Includes case studies for the application of identification on physical laboratory scale systems, as well as number of illustrative examples throughout the book Identification of Physical Systems is a comprehensive reference for researchers and practitioners working in this field and is also a useful source of information for graduate students in electrical, computer, biomedical, chemical, and mechanical engineering.

Identification of a physical system deals with the problem ofidentifying its mathematical model using the measured input andoutput data. As the physical system is generally complexnonlinear, and its input-output data is corrupted noisethere are fundamental theoretical and practical issues that need tobe considered.Identification of Physical Systems addresses this needpresenting a systematic, unified approach to the problem ofphysical system identification and its practicalapplications. Starting with a least-squares method, theauthors develop various schemes to address the issues of accuracyvariation in the operating regimes, closed loop, and interconnectedsubsystems. Also presented is a non-parametric signal or data-basedscheme to identify a means to provide a quick macroscopic pictureof the system to complement the precise microscopic picture givenby the parametric model-based scheme. Finally, a sequentialintegration of totally different schemes, such as non-parametricKalman filter, and parametric model, is developed to meet the speedand accuracy requirement of mission-critical systems.Key features:* Provides a clear understanding of theoretical and practicalissues in identification and its applications, enabling the readerto grasp a clear understanding of the theory and apply it topractical problems* Offers a self-contained guide by including the backgroundnecessary to understand this interdisciplinary subject* Includes case studies for the application of identification onphysical laboratory scale systems, as well as number ofillustrative examples throughout the bookIdentification of Physical Systems is a comprehensivereference for researchers and practitioners working in this fieldand is also a useful source of information for graduate students inelectrical, computer, biomedical, chemical, and mechanicalengineering.