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Data collection, compression, storage, and interpretation have
become mature technologies over the years. Extraction of meaningful
information from the process historical database seems to be a
natural and logical choice. In view of this, the proposed book aims
to apply the data driven knowledge base in ensuring safe process
operation through timely detection of process abnormal and normal
operating conditions, assuring product quality and analyzing
biomedical signal leading to diagnostic tools. The book poses an
open invitation for an interface which is required henceforth, in
practical implementation of the propositions and possibilities
referred in the book. It poses a challenge to the researchers in
academia towards the development of more sophisticated algorithms.
The proposed book also incites applications in diversified areas.
Key Features: Presents discussion of several modern and popular
chemometric techniques Introduces specific illustrative industrial
applications using the chemometric techniques Demonstrates several
applications to beverage quality monitoring Provides all the
algorithms developed for the automated device design, data files,
sources for biomedical signals and their pre-processing steps, and
all the process models requited to simulate process normal/faulty
data Includes casestudy-based approach to the topics with MATLAB
and SIMULINK source codes
Data collection, compression, storage, and interpretation have
become mature technologies over the years. Extraction of meaningful
information from the process historical database seems to be a
natural and logical choice. In view of this, the proposed book aims
to apply the data driven knowledge base in ensuring safe process
operation through timely detection of process abnormal and normal
operating conditions, assuring product quality and analyzing
biomedical signal leading to diagnostic tools. The book poses an
open invitation for an interface which is required henceforth, in
practical implementation of the propositions and possibilities
referred in the book. It poses a challenge to the researchers in
academia towards the development of more sophisticated algorithms.
The proposed book also incites applications in diversified areas.
Key Features: Presents discussion of several modern and popular
chemometric techniques Introduces specific illustrative industrial
applications using the chemometric techniques Demonstrates several
applications to beverage quality monitoring Provides all the
algorithms developed for the automated device design, data files,
sources for biomedical signals and their pre-processing steps, and
all the process models requited to simulate process normal/faulty
data Includes casestudy-based approach to the topics with MATLAB
and SIMULINK source codes
The book presents efficient numerical methods for simulation and
analysis of physical processes exhibiting fractional order (FO)
dynamics. The book introduces FO system identification method to
estimate parameters of a mathematical model under consideration
from experimental or simulated data. A simple tuning technique,
which aims to produce a robust FO PID controller exhibiting
iso-damping property during re-parameterization of a plant, is
devised in the book. A new numerical method to find an equivalent
finite dimensional integer order system for an infinite dimensional
FO system is developed in the book. The book also introduces a
numerical method to solve FO optimal control problems. Key features
Proposes generalized triangular function operational matrices.
Shows significant applications of triangular orthogonal functions
as well as triangular strip operational matrices in simulation,
identification and control of fractional order processes. Provides
numerical methods for simulation of physical problems involving
different types of weakly singular integral equations, Abel's
integral equation, fractional order integro-differential equations,
fractional order differential and differential-algebraic equations,
and fractional order partial differential equations. Suggests
alternative way to do numerical computation of fractional order
signals and systems and control. Provides source codes developed in
MATLAB for each chapter, allowing the interested reader to take
advantage of these codes for broadening and enhancing the scope of
the book itself and developing new results.
The book presents efficient numerical methods for simulation and
analysis of physical processes exhibiting fractional order (FO)
dynamics. The book introduces FO system identification method to
estimate parameters of a mathematical model under consideration
from experimental or simulated data. A simple tuning technique,
which aims to produce a robust FO PID controller exhibiting
iso-damping property during re-parameterization of a plant, is
devised in the book. A new numerical method to find an equivalent
finite dimensional integer order system for an infinite dimensional
FO system is developed in the book. The book also introduces a
numerical method to solve FO optimal control problems. Key features
Proposes generalized triangular function operational matrices.
Shows significant applications of triangular orthogonal functions
as well as triangular strip operational matrices in simulation,
identification and control of fractional order processes. Provides
numerical methods for simulation of physical problems involving
different types of weakly singular integral equations, Abel's
integral equation, fractional order integro-differential equations,
fractional order differential and differential-algebraic equations,
and fractional order partial differential equations. Suggests
alternative way to do numerical computation of fractional order
signals and systems and control. Provides source codes developed in
MATLAB for each chapter, allowing the interested reader to take
advantage of these codes for broadening and enhancing the scope of
the book itself and developing new results.
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