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The methods are more practical than the common probabilistic based
algorithms, since these can be appiled in unknown but bounded noisy
environment.
The methods are more practical than the common probabilistic based
algorithms, since these can be appiled in unknown but bounded noisy
environment.
This book provides energy efficiency quantitative analysis and
optimal methods for discrete manufacturing systems from the
perspective of global optimization. In order to analyze and
optimize energy efficiency for discrete manufacturing systems, it
uses real-time access to energy consumption information and models
of the energy consumption, and constructs an energy efficiency
quantitative index system. Based on the rough set and analytic
hierarchy process, it also proposes a principal component
quantitative analysis and a combined energy efficiency quantitative
analysis. In turn, the book addresses the design and development of
quantitative analysis systems. To save energy consumption on the
basis of energy efficiency analysis, it presents several optimal
control strategies, including one for single-machine equipment, an
integrated approach based on RWA-MOPSO, and one for production
energy efficiency based on a teaching and learning optimal
algorithm. Given its scope, the book offers a valuable guide for
students, teachers, engineers and researchers in the field of
discrete manufacturing systems.
This book provides energy efficiency quantitative analysis and
optimal methods for discrete manufacturing systems from the
perspective of global optimization. In order to analyze and
optimize energy efficiency for discrete manufacturing systems, it
uses real-time access to energy consumption information and models
of the energy consumption, and constructs an energy efficiency
quantitative index system. Based on the rough set and analytic
hierarchy process, it also proposes a principal component
quantitative analysis and a combined energy efficiency quantitative
analysis. In turn, the book addresses the design and development of
quantitative analysis systems. To save energy consumption on the
basis of energy efficiency analysis, it presents several optimal
control strategies, including one for single-machine equipment, an
integrated approach based on RWA-MOPSO, and one for production
energy efficiency based on a teaching and learning optimal
algorithm. Given its scope, the book offers a valuable guide for
students, teachers, engineers and researchers in the field of
discrete manufacturing systems.
The book provides fault detection and diagnosis approaches from the
perspective of filtering analysis. In order to design fault
detection filters, it uses set-membership principles to deal with
the unknown but bounded noise term. Some regular geometric spaces
are introduced, such as the ellipsoid, polyhedron, interval, to
describe the feasible parameter sets of the given system. Both
principles and engineering practice have been addressed, with more
weight placed on engineering practice. Some typical application
cases are studied for fault detection and diagnosis in detail,
which are power converter, permanent magnet synchronous motor,
pitch system of wind turbine. Given its scope, the book offers a
valuable guide for students, teachers, engineers and researchers in
the field of fault detection and diagnosis.
This book is mainly focused on the global impulsive synchronization
of complex dynamical networks with different types of couplings,
such as general state coupling, nonlinear state coupling,
time-varying delay coupling, derivative state coupling,
proportional delay coupling and distributed delay coupling. Studies
on impulsive synchronization of complex dynamical networks have
attracted engineers and scientists from various disciplines, such
as electrical engineering, mechanical engineering, mathematics,
network science, system engineering. Pursuing a holistic approach,
the book establishes a fundamental framework for this topic, while
emphasizing the importance of network synchronization and the
significant influence of impulsive control in the design and
optimization of complex networks. The primary audience for the book
would be the scholars and graduate students whose research topics
including the network science, control theory, applied mathematics,
system science and so on.
The book provides fault detection and diagnosis approaches from the
perspective of filtering analysis. In order to design fault
detection filters, it uses set-membership principles to deal with
the unknown but bounded noise term. Some regular geometric spaces
are introduced, such as the ellipsoid, polyhedron, interval, to
describe the feasible parameter sets of the given system. Both
principles and engineering practice have been addressed, with more
weight placed on engineering practice. Some typical application
cases are studied for fault detection and diagnosis in detail,
which are power converter, permanent magnet synchronous motor,
pitch system of wind turbine. Given its scope, the book offers a
valuable guide for students, teachers, engineers and researchers in
the field of fault detection and diagnosis.
This book is mainly focused on the global impulsive synchronization
of complex dynamical networks with different types of couplings,
such as general state coupling, nonlinear state coupling,
time-varying delay coupling, derivative state coupling,
proportional delay coupling and distributed delay coupling. Studies
on impulsive synchronization of complex dynamical networks have
attracted engineers and scientists from various disciplines, such
as electrical engineering, mechanical engineering, mathematics,
network science, system engineering. Pursuing a holistic approach,
the book establishes a fundamental framework for this topic, while
emphasizing the importance of network synchronization and the
significant influence of impulsive control in the design and
optimization of complex networks. The primary audience for the book
would be the scholars and graduate students whose research topics
including the network science, control theory, applied mathematics,
system science and so on.
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