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The casebook aims at providing the latest case materials for
researchers and students who are keen to learn about the
consumerization and transformation effects of digital technology.It
is one of the first books covering the best practices of digital
enablement in China, which has been the focus many observers among
the practitioners as well as academics.The 22 projects analyzed
include Zhongguancun InnoWay, OFO Bicycle, Esheke, Taobao, and
more.
This volume focuses on small mammal fossils from extinct Asian
faunas of about 1 to 7 million years ago in North China. These
played a role in the emergence of vertebrate paleontology as a
modern science in that country. This second volume of the
sub-series Late Cenozoic Yushe Basin, Shanxi Province, China:
Geology and Fossil Mammals in the Vertebrate Paleobiology and
Paleoanthropology book series deals with a rich microfauna fossil
record; megafauna follow in subsequent volumes. This research on
Yushe Basin fossils provides a view of changes in northeast Asian
terrestrial faunas during the Late Neogene, and therefore is a key
to the biochronology for a vast part of the continent. The faunas
recovered by the multinational team working in this region
represent changes in small mammal communities of the Yushe Basin,
revealed on a finer time scale that has not been achieved
previously. Detailed systematic studies on small mammal groups
proceeded under the care of specialists are outlined in the
chapters of this volume. Paleontologists, ecologists and
evolutionary biologists will find this book appealing.
This edited monograph contains research contributions on a wide
range of topics such as stochastic control systems, adaptive
control, sliding mode control and parameter identification methods.
The book also covers applications of robust and adaptice control to
chemical and biotechnological systems. This collection of papers
commemorates the 70th birthday of Dr. Alexander S. Poznyak.
This book presents a detailed discussion of intelligent techniques
to measure the displacement of buildings when they are subjected to
vibration. It shows how these techniques are used to control active
devices that can reduce vibration 60-80% more effectively than
widely used passive anti-seismic systems. After introducing various
structural control devices and building-modeling and active
structural control methods, the authors propose offset cancellation
and high-pass filtering techniques to solve some common problems of
building-displacement measurement using accelerometers. The most
popular control algorithms in industrial settings, PD/PID
controllers, are then analyzed and then combined with fuzzy
compensation. The stability of this combination is proven with
standard weight-training algorithms. These conditions provide
explicit methods for selecting PD/PID controllers. Finally,
fuzzy-logic and sliding-mode control are applied to the control of
wind-induced vibration. The methods described are supported by
reports of experimental studies on a two-story building prototype.
This book is a valuable resource for academic researchers
interested in the effects of control and mechatronic devices within
buildings, or those studying the principles of vibration reduction.
Practicing engineers working on the design and construction of any
sort of high-rise or vulnerable building and concerned with the
effects of either wind or seismic disturbances benefit from the
efficacy of the methods proposed.
"Recent Advances in Intelligent Control Systems" gathers
contributions from workers around the world and presents them in
four categories according to the style of control employed: fuzzy
control; neural control; fuzzy neural control; and intelligent
control. The contributions illustrate the interdisciplinary
antecedents of intelligent control and contrast its results with
those of more traditional control methods. A variety of design
examples, drawn primarily from robotics and mechatronics but also
representing process and production engineering, large civil
structures, network flows, and others, provide instances of the
application of computational intelligence for control. Presenting
state-of-the-art research, this collection will be of benefit to
researchers in automatic control, automation, computer science
(especially artificial intelligence) and mechatronics while
graduate students and practicing control engineers working with
intelligent systems will find it a good source of study material.
Today, the development of robots is making steady advances. In
particular, the Robot Operating System (ROS) offers a unified
platform that greatly facilitates the development of robots and has
become a new hotspot for learning and application in the field of
robotics research.This book introduces readers to the key
technologies and development methods for ROS-based intelligent
robots. Covering both the development history of robots and various
aspects of programming robots, it offers effective support for
beginners.The book is divided into three parts, the first of which
introduces the basics of robots, including their definition,
development, composition, and key technologies. In turn, the second
part covers the hardware and software components and the
implementation of functions such as vision, speech, grasping, and
autonomous navigation. These functions need to work together to
provide user-friendlier and more intelligent service. The third
part shows how to develop robots with different functions in
different application scenarios.Combining theoretical and practical
aspects, with a strong focus on application, this work can be used
as a reference book for robotics-related courses. Moreover, it will
benefit all readers who are interested in intelligent robot
development, sharing essential insights into developing service
robots based on ROS.
This book constitutes the proceedings of the second International
Workshop on Advanced Computational Intelligence (IWACI 2009), with
a sequel of IWACI 2008 successfully held in Macao, China. IWACI
2009 provided a high-level international forum for scientists,
engineers, and educators to present state-of-the-art research in
computational intelligence and related fields. Over the past
decades, computational intelligence community has witnessed t-
mendous efforts and developments in all aspects of theoretical
foundations, archit- tures and network organizations, modelling and
simulation, empirical study, as well as a wide range of
applications across different domains. IWACI 2009 provided a great
platform for the community to share their latest research results,
discuss critical future research directions, stimulate innovative
research ideas, as well as facilitate inter- tional
multidisciplinary collaborations. IWACI 2009 received 146
submissions from about 373 authors in 26 countries and regions
(Australia, Brazil, Canada, China, Chile, Hong Kong, India, Islamic
Republic of Iran, Japan, Jordan, Macao, Malaysia, Mexico, Pakistan,
Philippines, Qatar, Republic of Korea, Singapore, South Africa, Sri
Lanka, Spain, Taiwan, Thailand, UK, USA, Ve- zuela, Vietnam, and
Yemen) across six continents (Asia, Europe, North America, South
America, Africa, and Oceania). Based on the rigorous peer reviews
by the Program Committee members, 52 high-quality papers were
selected for publication in this book, with an acceptance rate of
36.3%. These papers cover major topics of the theoretical research,
empirical study, and applications of computational intelligence.
PID Control with Intelligent Compensation for Exoskeleton Robots
explains how to use neural PD and PID controls to reduce
integration gain, and provides explicit conditions on how to select
linear PID gains using proof of semi-global asymptotic stability
and local asymptotic stability with a velocity observer. These
conditions are applied in both task and joint spaces, with PID
controllers compensated by neural networks. This is a great
resource on how to combine traditional PD/PID control techniques
with intelligent control. Dr. Wen Yu presents several leading-edge
methods for designing neural and fuzzy compensators with high-gain
velocity observers for PD control using Lyapunov stability.
Proportional-integral-derivative (PID) control is widely used in
biomedical and industrial robot manipulators. An integrator in a
PID controller reduces the bandwidth of the closed-loop system,
leads to less-effective transient performance and may even destroy
stability. Many robotic manipulators use proportional-derivative
(PD) control with gravity and friction compensations, but improved
gravity and friction models are needed. The introduction of
intelligent control in these systems has dramatically changed the
face of biomedical and industrial control engineering.
This book focuses on safeguarding civil structures and residents
from natural hazards such as earthquakes through the use of active
control. It proposes novel proportional-derivative (PD) and
proportional-integral-derivative (PID) controllers, as well as
discrete-time sliding mode controllers (DSMCs) for the vibration
control of structures involving nonlinearities. Fuzzy logic
techniques are used to compensate for nonlinearities. The first
part of the book addresses modelling and feedback control in
inelastic structures and presents a design for PD/PID controllers.
In the second part, classical PD/PID and type-2 fuzzy control
techniques are combined to compensate for uncertainties in the
structures of buildings. The methodology for tuning the gains of
PD/PID is obtained using Lyapunov stability theory, and the
system's stability is verified. Lastly, the book puts forward a
DSMC design that does not require system parameters, allowing it to
be more flexibly applied. All program codes used in the paper are
presented in a MATLAB (R)/Simulink (R) environment. Given its
scope, the book will be of interest to mechanical and civil
engineers, and to advanced undergraduate and graduate engineering
students in the areas of structural engineering, structural
vibration, and advanced control.
"Recent Advances in Intelligent Control Systems" gathers
contributions from workers around the world and presents them in
four categories according to the style of control employed: fuzzy
control; neural control; fuzzy neural control; and intelligent
control. The contributions illustrate the interdisciplinary
antecedents of intelligent control and contrast its results with
those of more traditional control methods. A variety of design
examples, drawn primarily from robotics and mechatronics but also
representing process and production engineering, large civil
structures, network flows, and others, provide instances of the
application of computational intelligence for control.
Presenting state-of-the-art research, this collection will be of
benefit to researchers in automatic control, automation, computer
science (especially artificial intelligence) and mechatronics while
graduate students and practicing control engineers working with
intelligent systems will find it a good source of study
material.
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