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Unifying two decades of research, this book is the first to
establish a comprehensive foundation for a systematic analysis and
design of linear systems with general state and input constraints.
For such systems, which can be used as models for most nonlinear
systems, the issues of stability, controller design, additonal
constraints, and satisfactory performance are addressed. The book
is an excellent reference for practicing engineers, graduate
students, and researchers in control systems theory and design. It
may also serve as an advanced graduate text for a course or a
seminar in nonlinear control systems theory and design in applied
mathematics or engineering departments. Minimal prerequisites
include a first graduate course in state-space methods as well as a
first course in control systems design.
Focusses on filtering for linear processes, and helps design linear
stable unbiased filters that yield an estimation error with the
lowest root-mean-square (RMS) norm. This book defines various
hierarchical classes of filtering problems based on the
availability of statistical knowledge regarding noise,
disturbances, and other uncertainties.
Loop Transfer Recovery (LTR) is part of the Communications and
Control Engineering Series (CCES) edited by Professors B.W.
Dickinson, E.D. Sontag, M. Thoma, A. Fettweis, J.L. Massey and J.W.
Modestino. Loop Transfer Recovery deals with several issues of
analysis and design of the Loop Transfer Recovery (LTR) problem. It
discusses when and how an LTR is possible and outlines different
controller structures and the available design freedom. An
explanation of the actual design methods for accomplishing an LTR
is given. Besides dealing with observer based measurement feedback
controllers, which are commonly used for LTR, a new controller with
a different architecture which out performs observer based
controllers is presented. This publication will be of benefit to
anyone who has completed a first graduate course in linear systems
and state-space methods, together with an elementary knowledge of
Linear Quadratic Control.
This monograph couples output regulation with several recent
developments in modern control theory. It re-examines output
regulation theory to achieve a design of controllers that take into
account the physical limiting characteristics of actuators such as
saturation. The book provides a solution to the basic problem of
finding a controller that achieves internal stabilization, results
in a desired performance norm, and renders asymptotic tracking of a
reference signal even in the presence of persistent disturbances.
This monograph explores the synchronization of large-scale,
multi-agent dynamical systems in the presence of disturbances,
delays, and time-varying networks. Drawing upon their extensive
work in this area, the authors provide a thorough treatment of
agents with higher-order dynamics, different classes of models for
agents, and the underlying networks representing the agents'
actions. The high technical level of their presentation and their
rigorous mathematical approach make this a timely and valuable
resource that will fill a gap in the existing literature. Divided
into two sections, the first part of the book focuses on state
synchronization of homogeneous multi-agent systems. The authors
consider state synchronization by determining control strategies
for both continuous- and discrete-time systems that achieve state
synchronization under both full- and partial-state coupling. The
chapters that follow examine multi-agent systems with both linear
and nonlinear time-varying agents, input-delays for continuous- and
discrete-time systems, and communication delays for continuous-time
systems. The second part of the book is dedicated to regulated
output synchronization of heterogeneous multi-agent systems with
linear and nonlinear agents. Both sections of the book include
performance considerations in H2- and H-infinity norms in the
presence of external disturbances. Research on synchronization of
multi-agent systems has been growing in popularity and is highly
interdisciplinary, with applications to automobile systems,
aerospace systems, multiple-satellite GPS and high-resolution
satellite imagery, aircraft formations, highway traffic platooning,
industrial process control with multiple processes, and more.
Synchronization of Multi-Agent Systems in the Presence of
Disturbances and Delays will therefore be of interest to
upper-level graduate students, researchers, and engineers in
industry working on interconnected dynamical systems.
This monograph explores the synchronization of large-scale,
multi-agent dynamical systems in the presence of disturbances,
delays, and time-varying networks. Drawing upon their extensive
work in this area, the authors provide a thorough treatment of
agents with higher-order dynamics, different classes of models for
agents, and the underlying networks representing the agents'
actions. The high technical level of their presentation and their
rigorous mathematical approach make this a timely and valuable
resource that will fill a gap in the existing literature. Divided
into two sections, the first part of the book focuses on state
synchronization of homogeneous multi-agent systems. The authors
consider state synchronization by determining control strategies
for both continuous- and discrete-time systems that achieve state
synchronization under both full- and partial-state coupling. The
chapters that follow examine multi-agent systems with both linear
and nonlinear time-varying agents, input-delays for continuous- and
discrete-time systems, and communication delays for continuous-time
systems. The second part of the book is dedicated to regulated
output synchronization of heterogeneous multi-agent systems with
linear and nonlinear agents. Both sections of the book include
performance considerations in H2- and H-infinity norms in the
presence of external disturbances. Research on synchronization of
multi-agent systems has been growing in popularity and is highly
interdisciplinary, with applications to automobile systems,
aerospace systems, multiple-satellite GPS and high-resolution
satellite imagery, aircraft formations, highway traffic platooning,
industrial process control with multiple processes, and more.
Synchronization of Multi-Agent Systems in the Presence of
Disturbances and Delays will therefore be of interest to
upper-level graduate students, researchers, and engineers in
industry working on interconnected dynamical systems.
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