Identification of Physical Systems (PDF)

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.