|
Showing 1 - 13 of
13 matches in All Departments
This book offers an essential introduction to the latest advances
in delayed genetic regulatory networks (GRNs) and presents
cutting-edge work on the analysis and design of delayed GRNs in
which the system parameters are subject to uncertain, stochastic
and/or parameter-varying changes. Specifically, the types examined
include delayed switching GRNs, delayed stochastic GRNs, delayed
reaction-diffusion GRNs, delayed discrete-time GRNs, etc. In
addition, the solvability of stability analysis, control and
estimation problems involving delayed GRNs are addressed in terms
of linear matrix inequality or M-matrix tests. The book offers a
comprehensive reference guide for researchers and practitioners
working in system sciences and applied mathematics, and a valuable
source of information for senior undergraduates and graduates in
these areas. Further, it addresses a gap in the literature by
providing a unified and concise framework for the analysis and
design of delayed GRNs.
This book presents up-to-date research developments and novel
methodologies on semi-Markovian jump systems (S-MJS). It presents
solutions to a series of problems with new approaches for the
control and filtering of S-MJS, including stability analysis,
sliding mode control, dynamic output feedback control, robust
filter design, and fault detection. A set of newly developed
techniques such as piecewise analysis method, positively invariant
set approach, event-triggered method, and cone complementary
linearization approaches are presented. Control and Filtering for
Semi-Markovian Jump Systems is a comprehensive reference for
researcher and practitioners working in control engineering, system
sciences and applied mathematics, and is also a useful source of
information for senior undergraduates and graduates in these areas.
The readers will benefit from some new concepts, new models and new
methodologies with practical significance in control engineering
and signal processing.
This book develops a set of reference methods capable of modeling
uncertainties existing in membership functions, and analyzing and
synthesizing the interval type-2 fuzzy systems with desired
performances. It also provides numerous simulation results for
various examples, which fill certain gaps in this area of research
and may serve as benchmark solutions for the readers. Interval
type-2 T-S fuzzy models provide a convenient and flexible method
for analysis and synthesis of complex nonlinear systems with
uncertainties.
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 up-to-date research developments and novel
methodologies on semi-Markovian jump systems (S-MJS). It presents
solutions to a series of problems with new approaches for the
control and filtering of S-MJS, including stability analysis,
sliding mode control, dynamic output feedback control, robust
filter design, and fault detection. A set of newly developed
techniques such as piecewise analysis method, positively invariant
set approach, event-triggered method, and cone complementary
linearization approaches are presented. Control and Filtering for
Semi-Markovian Jump Systems is a comprehensive reference for
researcher and practitioners working in control engineering, system
sciences and applied mathematics, and is also a useful source of
information for senior undergraduates and graduates in these areas.
The readers will benefit from some new concepts, new models and new
methodologies with practical significance in control engineering
and signal processing.
This book presents up-to-date research developments and novel
methodologies on fuzzy control systems. It presents solutions to a
series of problems with new approaches for the analysis and
synthesis of fuzzy time-delay systems and fuzzy stochastic systems,
including stability analysis and stabilization, dynamic output
feedback control, robust filter design, and model approximation. A
set of newly developed techniques such as fuzzy Lyapunov function
approach, delay-partitioning, reciprocally convex, cone
complementary linearization approach are presented. Fuzzy Control
Systems with Time-Delay and Stochastic Perturbation: Analysis and
Synthesis is a comprehensive reference for researcher and
practitioners working in control engineering, system sciences and
applied mathematics, and is also a useful source of information for
senior undergraduates and graduates in these areas. The readers
will benefit from some new concepts, new models and new
methodologies with practical significance in control engineering
and signal processing. Â Â
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 develops a set of reference methods capable of modeling
uncertainties existing in membership functions, and analyzing and
synthesizing the interval type-2 fuzzy systems with desired
performances. It also provides numerous simulation results for
various examples, which fill certain gaps in this area of research
and may serve as benchmark solutions for the readers. Interval
type-2 T-S fuzzy models provide a convenient and flexible method
for analysis and synthesis of complex nonlinear systems with
uncertainties.
This book focuses on filtering, control and model-reduction
problems for two-dimensional (2-D) systems with imperfect
information. The time-delayed 2-D systems covered have system
parameters subject to uncertain, stochastic and parameter-varying
changes. After an initial introduction of 2-D systems and the ideas
of linear repetitive processes, the text is divided into two parts
detailing: * General theory and methods of analysis and optimal
synthesis for 2-D systems; and * Application of the general theory
to the particular case of differential/discrete linear repetitive
processes. The methods developed provide a framework for stability
and performance analysis, optimal and robust controller and filter
design and model approximation for the systems considered.
Solutions to the design problems are couched in terms of linear
matrix inequalities. For readers interested in the state of the art
in linear filtering, control and model reduction, Filtering and
Control for Classes of Two-Dimensional Systems will be a useful
reference for exploring the field of 2-D systems either from a
purely theoretical research perspective or from the point of view
of a multitude of potential applications including image
processing, and the study of seismographic data or thermal
processes.
This book presents up-to-date research developments and novel
methodologies on fuzzy control systems. It presents solutions to a
series of problems with new approaches for the analysis and
synthesis of fuzzy time-delay systems and fuzzy stochastic systems,
including stability analysis and stabilization, dynamic output
feedback control, robust filter design, and model approximation. A
set of newly developed techniques such as fuzzy Lyapunov function
approach, delay-partitioning, reciprocally convex, cone
complementary linearization approach are presented. Fuzzy Control
Systems with Time-Delay and Stochastic Perturbation: Analysis and
Synthesis is a comprehensive reference for researcher and
practitioners working in control engineering, system sciences and
applied mathematics, and is also a useful source of information for
senior undergraduates and graduates in these areas. The readers
will benefit from some new concepts, new models and new
methodologies with practical significance in control engineering
and signal processing.
This book analyzes the secure problems of cyber-physical systems
from both the adversary and defender sides. Targeting the
challenging security problems of cyber-physical systems under
malicious attacks, this book presents some recent novel secure
state estimation and control algorithms, in which moving target
defense scheme, zero-sum game-theoretical approach, reinforcement
learning, neural networks, and intelligent control are adopted.
Readers will find not only the valuable secure state estimation and
control schemes combined with the approaches aforementioned, but
also some vital conclusions for securing cyber-physical systems,
for example, the critical value of allowed attack probability, the
maximum number of sensors to be attacked, etc. The book also
provides practical applications, example of which are unmanned
aerial vehicles, interruptible power system, and robot arm to
validate the proposed secure algorithms. Given its scope, it offers
a valuable resource for undergraduate and graduate students,
academics, scientists, and engineers who are working in this field.
This book aims to present some advanced control methodologies for
power converters. Power electronic converters have become
indispensable devices for plenty of industrial applications over
the last decades. Composed by controllable power switches, they can
be controlled by effective strategies to achieve desirable
transient response and steady-state performance, to ensure the
stability, reliability and safety of the system. The most popular
control strategy of power converters is the linear
proportional-integral-derivative series control which is adopted as
industry standard. However, when there exist parameter changes,
nonlinearities and load disturbances in the system, the performance
of the controller will be significantly degraded. To overcome this
problem, many advanced control methodologies and techniques have
been developed to improve the converter performance. This book
presents the research work on some advanced control methodologies
for several types of power converters, including three-phase
two-level AC/DC power converter, three-phase NPC AC/DC power
converter, and DC/DC buck converter. The effectiveness and
advantage of the proposed control strategies are verified via
simulations and experiments. The content of this book can be
divided into two parts. The first part focuses on disturbance
observer-based control methods for power converters under
investigation. The second part investigates intelligent control
methods. These methodologies provide a framework for controller
design, observer design, stability and performance analysis for the
considered power converter systems.
This book analyzes the secure problems of cyber-physical systems
from both the adversary and defender sides. Targeting the
challenging security problems of cyber-physical systems under
malicious attacks, this book presents some recent novel secure
state estimation and control algorithms, in which moving target
defense scheme, zero-sum game-theoretical approach, reinforcement
learning, neural networks, and intelligent control are adopted.
Readers will find not only the valuable secure state estimation and
control schemes combined with the approaches aforementioned, but
also some vital conclusions for securing cyber-physical systems,
for example, the critical value of allowed attack probability, the
maximum number of sensors to be attacked, etc. The book also
provides practical applications, example of which are unmanned
aerial vehicles, interruptible power system, and robot arm to
validate the proposed secure algorithms. Given its scope, it offers
a valuable resource for undergraduate and graduate students,
academics, scientists, and engineers who are working in this field.
|
You may like...
Not available
|