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This book presents recent research work on stochastic jump hybrid
systems. Specifically, the considered stochastic jump hybrid
systems include Markovian jump Ito stochastic systems, Markovian
jump linear-parameter-varying (LPV) systems, Markovian jump
singular systems, Markovian jump two-dimensional (2-D) systems, and
Markovian jump repeated scalar nonlinear systems. Some sufficient
conditions are first established respectively for the stability and
performances of those kinds of stochastic jump hybrid systems in
terms of solution of linear matrix inequalities (LMIs). Based on
the derived analysis conditions, the filtering and control problems
are addressed. The book presents up-to-date research developments
and novel methodologies on stochastic jump hybrid systems. The
contents can be divided into two parts: the first part is focused
on robust filter design problem, while the second part is put the
emphasis on robust control problem. These methodologies provide a
framework for stability and performance analysis, robust controller
design, and robust filter design for the considered systems.
Solutions to the design problems are presented in terms of LMIs.
The book is a timely reflection of the developing area of filtering
and control theories for Markovian jump hybrid systems with various
kinds of imperfect information. It is a collection of a series of
latest research results and therefore serves as a useful textbook
for senior and/or graduate students who are interested in knowing
1) the state-of-the-art of linear filtering and control areas, and
2) recent advances in stochastic jump hybrid systems. The readers
will also benefit from some new concepts, new models and new
methodologies with practical significance in control engineering
and signal processing.
This book presents recent research work on stochastic jump hybrid
systems. Specifically, the considered stochastic jump hybrid
systems include Markovian jump Ito stochastic systems, Markovian
jump linear-parameter-varying (LPV) systems, Markovian jump
singular systems, Markovian jump two-dimensional (2-D) systems, and
Markovian jump repeated scalar nonlinear systems. Some sufficient
conditions are first established respectively for the stability and
performances of those kinds of stochastic jump hybrid systems in
terms of solution of linear matrix inequalities (LMIs). Based on
the derived analysis conditions, the filtering and control problems
are addressed. The book presents up-to-date research developments
and novel methodologies on stochastic jump hybrid systems. The
contents can be divided into two parts: the first part is focused
on robust filter design problem, while the second part is put the
emphasis on robust control problem. These methodologies provide a
framework for stability and performance analysis, robust controller
design, and robust filter design for the considered systems.
Solutions to the design problems are presented in terms of LMIs.
The book is a timely reflection of the developing area of filtering
and control theories for Markovian jump hybrid systems with various
kinds of imperfect information. It is a collection of a series of
latest research results and therefore serves as a useful textbook
for senior and/or graduate students who are interested in knowing
1) the state-of-the-art of linear filtering and control areas, and
2) recent advances in stochastic jump hybrid systems. The readers
will also benefit from some new concepts, new models and new
methodologies with practical significance in control engineering
and signal processing.
This book provides a comprehensive review of the latest modelling
developments in flow batteries, as well as some new results and
insights. Flow batteries have long been considered the most
flexible answer to grid scale energy storage, and modelling is a
key component in their development. Recent modelling has moved
beyond macroscopic methods, towards mesoscopic and smaller scales
to select materials and design components. This is important for
both fundamental understanding and the design of new electrode,
catalyst and electrolyte materials. There has also been a recent
explosion in interest in machine learning for electrochemical
energy technologies. The scope of the book includes these latest
developments and is focused on advanced techniques, rather than
traditional modelling paradigms. The aim of this book is to
introduce these concepts and methods to flow battery researcher,
but the book would have a much broader appeal since these methods
also employed in other battery and fuel cell systems and far
beyond. The methods will be described in detail (necessary
fundamental material in Appendices). The book appeals to graduate
students and researchers in academia/industry working in
electrochemical systems, or those working in computational
chemistry/machine learning wishing to seek new application
areas. Â
This book aims to extend existing works on consensus of multi-agent
systems systematically. The agents to be considered range from
double integrators to generic linear systems. The primary goal is
to explicitly characterize how agent parameters, which reflect both
self-dynamics and inner coupling of each agent, and switching
network topologies jointly influence the collective behaviors. A
series of necessary and/or sufficient conditions for exponential
consensus are derived. The contents of this book are as follows.
Chapter 1 provides the background and briefly reviews the advances
of consensus of multi-agent systems. Chapter 2 addresses the
consensus problem of double integrators over directed switching
network topologies. It is proven that exponential consensus can be
secured under very mild conditions incorporating the damping gain
and network topology. Chapter 3 considers generic linear systems
with undirected switching network topologies. Necessary and
sufficient conditions on agent parameters and connectivity of the
communication graph for exponential consensus are provided. Chapter
4 furthers the study of consensus for multiple generic linear
systems by considering directed switching network topologies. How
agent parameters and joint connectivity work together for reaching
consensus is characterized from an algebraic and geometric view.
Chapter 5 extends the design and analysis methodology to
containment control problem, where there exist multiple leaders. A
novel analysis framework from the perspective of state transition
matrix is developed. This framework relates containment to
consensus and overcomes the difficulty of construction of a
containment error. This book serves as a reference to the main
research issues and results on consensus of multi-agent systems.
Some prerequisites for reading this book include linear system
theory, matrix theory, mathematics, and so on.
This book aims to extend existing works on consensus of multi-agent
systems systematically. The agents to be considered range from
double integrators to generic linear systems. The primary goal is
to explicitly characterize how agent parameters, which reflect both
self-dynamics and inner coupling of each agent, and switching
network topologies jointly influence the collective behaviors. A
series of necessary and/or sufficient conditions for exponential
consensus are derived. The contents of this book are as follows.
Chapter 1 provides the background and briefly reviews the advances
of consensus of multi-agent systems. Chapter 2 addresses the
consensus problem of double integrators over directed switching
network topologies. It is proven that exponential consensus can be
secured under very mild conditions incorporating the damping gain
and network topology. Chapter 3 considers generic linear systems
with undirected switching network topologies. Necessary and
sufficient conditions on agent parameters and connectivity of the
communication graph for exponential consensus are provided. Chapter
4 furthers the study of consensus for multiple generic linear
systems by considering directed switching network topologies. How
agent parameters and joint connectivity work together for reaching
consensus is characterized from an algebraic and geometric view.
Chapter 5 extends the design and analysis methodology to
containment control problem, where there exist multiple leaders. A
novel analysis framework from the perspective of state transition
matrix is developed. This framework relates containment to
consensus and overcomes the difficulty of construction of a
containment error. This book serves as a reference to the main
research issues and results on consensus of multi-agent systems.
Some prerequisites for reading this book include linear system
theory, matrix theory, mathematics, and so on.
This book provides the latest information and methodologies of
rotating disk electrode and rotating ring-disk electrode (RDE/RRDE)
and oxygen reduction reaction (ORR). It is an ideal reference for
undergraduate and graduate students, scientists, and engineers who
work in the areas of energy, electrochemistry science and
technology, fuel cells, and other electrochemical systems.
Presents a comprehensive description, from fundamentals to
applications, of catalyzed oxygen reduction reaction and its
mechanismsPortrays a complete description of the RDE (Rotating Disc
Electrode)/RRDE (Rotating Ring-Disc Electrode) techniques and their
use in evaluating ORR (Oxygen Reduction Reaction) catalystsProvides
working examples along with figures, tables, photos and a
comprehensive list of references to help understanding of the
principles involved
In this book we investigate mechanism of charge carrier transport
in organic semiconductor thin film devices (OTFDs). Numerical
models for the current conduction in single layer OTFDs including
both injection and bulk effect for both trap free organics as well
as organics with traps exponentially distributed in energy are
developed. The dependencies of the current density on the operation
voltage, the thickness of the organic layer and the trap properties
are numerically studied.
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