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This book studies selected discrete-time flight control schemes for
fixed-wing unmanned aerial vehicle (UAV) systems in the presence of
system uncertainties, external disturbances and input saturation.
The main contributions of this book for UAV systems are as follows:
(i) the proposed integer-order discrete-time control schemes are
based on the designed discrete-time disturbance observers (DTDOs)
and the neural network (NN); and (ii) the fractional-order
discrete-time control schemes are developed by using the
fractional-order calculus theory, the NN and the DTDOs. The book
offers readers a good understanding of how to establish
discrete-time tracking control schemes for fixed-wing UAV systems
subject to system uncertainties, external wind disturbances and
input saturation. It represents a valuable reference guide for
academic research on uncertain UAV systems, and can also support
advanced / Ph.D. studies on control theory and engineering.
This book reports on the latest advances in the study of Networked
Control Systems (NCSs). It highlights novel research concepts on
NCSs; the analysis and synthesis of NCSs with special attention to
their networked character; self- and event-triggered communication
schemes for conserving limited network resources; and communication
and control co-design for improving the efficiency of NCSs. The
book will be of interest to university researchers, control and
network engineers, and graduate students in the control
engineering, communication and network sciences interested in
learning the core principles, methods, algorithms and applications
of NCSs.
Extremal Optimization: Fundamentals, Algorithms, and Applications
introduces state-of-the-art extremal optimization (EO) and modified
EO (MEO) solutions from fundamentals, methodologies, and algorithms
to applications based on numerous classic publications and the
authors' recent original research results. It promotes the movement
of EO from academic study to practical applications. The book
covers four aspects, beginning with a general review of real-world
optimization problems and popular solutions with a focus on
computational complexity, such as "NP-hard" and the "phase
transitions" occurring on the search landscape. Next, it introduces
computational extremal dynamics and its applications in EO from
principles, mechanisms, and algorithms to the experiments on some
benchmark problems such as TSP, spin glass, Max-SAT (maximum
satisfiability), and graph partition. It then presents studies on
the fundamental features of search dynamics and mechanisms in EO
with a focus on self-organized optimization, evolutionary
probability distribution, and structure features (e.g., backbones),
which are based on the authors' recent research results. Finally,
it discusses applications of EO and MEO in multiobjective
optimization, systems modeling, intelligent control, and production
scheduling. The authors present the advanced features of EO in
solving NP-hard problems through problem formulation, algorithms,
and simulation studies on popular benchmarks and industrial
applications. They also focus on the development of MEO and its
applications. This book can be used as a reference for graduate
students, research developers, and practical engineers who work on
developing optimization solutions for those complex systems with
hardness that cannot be solved with mathematical optimization or
other computational intelligence, such as evolutionary
computations.
This edited volume has a two-fold purpose. First, comprehensive
survey articles provide a way for beginners to ease into the
corresponding sub-fields. These are then supplemented by original
works that give the more advanced readers a glimpse of the current
research in geometric analysis and related PDEs. The book is of
significant interest for researchers, including advanced Ph.D.
students, working in geometric analysis. Readers who have a
secondary interest in geometric analysis will benefit from the
survey articles. The results included in this book will stimulate
further advances in the subjects: geometric analysis, including
complex differential geometry, symplectic geometry, PDEs with a
geometric origin, and geometry related to topology. Contributions
by Claudio Arezzo, Alberto Della Vedova, Werner Ballmann, Henrik
Matthiesen, Panagiotis Polymerakis, Sun-Yung A. Chang, Zheng-Chao
Han, Paul Yang, Tobias Holck Colding, William P. Minicozzi II,
Panagiotis Dimakis, Richard Melrose, Akito Futaki, Hajime Ono,
Jiyuan Han, Jeff A. Viaclovsky, Bruce Kleiner, John Lott, Slawomir
Kolodziej, Ngoc Cuong Nguyen, Chi Li, Yuchen Liu, Chenyang Xu,
YanYan Li, Luc Nguyen, Bo Wang, Shiguang Ma, Jie Qing, Xiaonan Ma,
Sean Timothy Paul, Kyriakos Sergiou, Tristan Riviere, Yanir A.
Rubinstein, Natasa Sesum, Jian Song, Jeffrey Streets, Neil S.
Trudinger, Yu Yuan, Weiping Zhang, Xiaohua Zhu and Aleksey Zinger.
|
Intelligent Equipment, Robots, and Vehicles - 7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, Hangzhou, China, October 30 - November 1, 2021, Proceedings, Part III (Paperback, 1st ed. 2021)
Qinglong Han, Sean McLoone, Chen Peng, Baolin Zhang
|
R3,672
Discovery Miles 36 720
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Ships in 10 - 15 working days
|
The three-volume set CCIS 1467, CCIS 1468, and CCIS 1469
constitutes the thoroughly refereed proceedings of the 7th
International Conference on Life System Modeling and Simulation,
LSMS 2021, and of the 7th International Conference on Intelligent
Computing for Sustainable Energy and Environment, ICSEE 2021, held
in Hangzhou, China, in October 2021. The 159 revised papers
presented were carefully reviewed and selected from over 430
submissions. The papers of this volume are organized in topical
sections on: Medical Imaging and Analysis Using Intelligence
Computing; Biomedical signal processing, imaging, visualization and
surgical robotics; Computational method in taxonomy study and
neural dynamics; Intelligent medical apparatus, clinical
applications and intelligent design of biochips; Power and Energy
Systems; Computational Intelligence in Utilization of Clean and
Renewable Energy Resources, and Intelligent Modelling, Control and
Supervision for Energy Saving and Pollution Reduction; Intelligent
Methods in Developing Electric Vehicles, Engines and Equipment;
Intelligent Control Methods in Energy Infrastructure Development
and Distributed Power Generation Systems; Intelligent Modeling,
Simulation and Control of Power Electronics and Power Networks;
Intelligent Techniques for Sustainable Energy and Green Built
Environment, Water Treatment and Waste Management; Intelligent
Robot and Simulation; Intelligent Data Processing, Analysis and
Control in Complex Systems; Advanced Neural Network Theory and
Algorithms; Advanced Computational Methods and Applications; Fuzzy,
Neural, and Fuzzy-neuro Hybrids; Intelligent Modelling, Monitoring,
and Control of Complex Nonlinear Systems; Intelligent
manufacturing, autonomous systems, intelligent robotic systems;
Computational Intelligence and Applications.
This book studies selected discrete-time flight control schemes for
fixed-wing unmanned aerial vehicle (UAV) systems in the presence of
system uncertainties, external disturbances and input saturation.
The main contributions of this book for UAV systems are as follows:
(i) the proposed integer-order discrete-time control schemes are
based on the designed discrete-time disturbance observers (DTDOs)
and the neural network (NN); and (ii) the fractional-order
discrete-time control schemes are developed by using the
fractional-order calculus theory, the NN and the DTDOs. The book
offers readers a good understanding of how to establish
discrete-time tracking control schemes for fixed-wing UAV systems
subject to system uncertainties, external wind disturbances and
input saturation. It represents a valuable reference guide for
academic research on uncertain UAV systems, and can also support
advanced / Ph.D. studies on control theory and engineering.
|
Intelligent Computing, Networked Control, and Their Engineering Applications - International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Nanjing, China, September 22-24, 2017, Proceedings, Part II (Paperback, 1st ed. 2017)
Dong Yue, Chen Peng, Dajun Du, Tengfei Zhang, Min Zheng, …
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R2,919
Discovery Miles 29 190
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Ships in 10 - 15 working days
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The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes
the thoroughly refereed proceedings of the International Conference
on Life System Modeling and Simulation, LSMS 2017, and of the
International Conference on Intelligent Computing for Sustainable
Energy and Environment, ICSEE 2017, held in Nanjing, China, in
September 2017. The 208 revised full papers presented were
carefully reviewed and selected from over 625 submissions. The
papers of this volume are organized in topical sections on:
Biomedical Signal Processing; Computational Methods in Organism
Modeling; Medical Apparatus and Clinical Applications; Bionics
Control Methods, Algorithms and Apparatus; Modeling and Simulation
of Life Systems; Data Driven Analysis; Image and Video Processing;
Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced
Evolutionary Methods and Applications; Advanced Machine Learning
Methods and Applications; Intelligent Modeling, Monitoring, and
Control of Complex Nonlinear Systems; Advanced Methods for
Networked Systems; Control and Analysis of Transportation Systems;
Advanced Sliding Mode Control and Applications; Advanced Analysis
of New Materials and Devices; Computational Intelligence in
Utilization of Clean and Renewable Energy Resources; Intelligent
Methods for Energy Saving and Pollution Reduction; Intelligent
Methods in Developing Electric Vehicles, Engines and Equipment;
Intelligent Computing and Control in Power Systems; Modeling,
Simulation and Control in Smart Grid and Microgrid; Optimization
Methods; Computational Methods for Sustainable Environment.
This book reports on the latest advances in the study of Networked
Control Systems (NCSs). It highlights novel research concepts on
NCSs; the analysis and synthesis of NCSs with special attention to
their networked character; self- and event-triggered communication
schemes for conserving limited network resources; and communication
and control co-design for improving the efficiency of NCSs. The
book will be of interest to university researchers, control and
network engineers, and graduate students in the control
engineering, communication and network sciences interested in
learning the core principles, methods, algorithms and applications
of NCSs.
|
Computational Intelligence, Networked Systems and Their Applications - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Shanghai, China, September 2014, Proceedings, Part (Paperback, 2014 ed.)
Minrui Fei, Chen Peng, Zhou Su, Yang Song, Qinglong Han
|
R3,151
Discovery Miles 31 510
|
Ships in 10 - 15 working days
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This book constitutes the second part of the refereed proceedings
of the International Conference on Life System Modeling and
Simulation, LSMS 2014, and of the International Conference on
Intelligent Computing for Sustainable Energy and Environment, ICSEE
2014, held in Shanghai, China, in September 2014. The 159 revised
full papers presented in the three volumes of CCIS 461-463 were
carefully reviewed and selected from 572 submissions. The papers of
this volume are organized in topical sections on advanced neural
network theory and algorithms; advanced evolutionary computing
theory and algorithms, such as particle swarm optimization,
differential evolution, ant colonies, artificial life, artificial
immune systems and genetic algorithm; fuzzy, neural, and
fuzzy-neuro hybrids; intelligent modeling, monitoring, and control
of complex nonlinear systems; intelligent modeling and simulation
of climate change; communication and control for distributed
networked systems.
This revelatory book shows how the influential and controversial
Empress Dowager Cixi used art and architecture to establish her
authority Empress Dowager Cixi (1835-1908), who ruled China from
1861 until her death in 1908, is a subject of fascination and
controversy, at turns vilified for her political maneuvering and
admired for modernizing China. In addition to being an astute
politician, she was an earnest art patron, and this beautifully
illustrated book explores a wide range of objects, revealing how
the empress dowager used art and architecture to solidify her rule.
Cixi's art commissions were innovative in the way that they unified
two distant conceptions of gender in China at the time,
demonstrating her strength and wisdom as a monarch while
highlighting her identity as a woman and mother. Artful Subversion
examines commissioned works, including portrait paintings and
photographs, ceramics, fashion, architecture, and garden design, as
well as work Cixi created, such as painting and calligraphy. The
book is a compelling study of how a powerful matriarch at once
subverted and upheld the Qing imperial patriarchy.
The authors' innovative research ideas in power plant control are
presented in this book. This book focuses on 1) cognition and
reconstruction of the temperature field; 2) intelligent setting and
learning of power plants; 3) energy efficiency optimization and
intelligent control for power plants, and so on, using historical
power plant operation data and creative methods such as
reconstruction of the combustion field, deep reinforcement
learning, and networked collaborative control. It could help
researchers, industrial engineers, and graduate students in the
areas of signal detection, image processing, and control
engineering.
This edited volume has a two-fold purpose. First, comprehensive
survey articles provide a way for beginners to ease into the
corresponding sub-fields. These are then supplemented by original
works that give the more advanced readers a glimpse of the current
research in geometric analysis and related PDEs. The book is of
significant interest for researchers, including advanced Ph.D.
students, working in geometric analysis. Readers who have a
secondary interest in geometric analysis will benefit from the
survey articles. The results included in this book will stimulate
further advances in the subjects: geometric analysis, including
complex differential geometry, symplectic geometry, PDEs with a
geometric origin, and geometry related to topology. Contributions
by Claudio Arezzo, Alberto Della Vedova, Werner Ballmann, Henrik
Matthiesen, Panagiotis Polymerakis, Sun-Yung A. Chang, Zheng-Chao
Han, Paul Yang, Tobias Holck Colding, William P. Minicozzi II,
Panagiotis Dimakis, Richard Melrose, Akito Futaki, Hajime Ono,
Jiyuan Han, Jeff A. Viaclovsky, Bruce Kleiner, John Lott, Slawomir
Kolodziej, Ngoc Cuong Nguyen, Chi Li, Yuchen Liu, Chenyang Xu,
YanYan Li, Luc Nguyen, Bo Wang, Shiguang Ma, Jie Qing, Xiaonan Ma,
Sean Timothy Paul, Kyriakos Sergiou, Tristan Riviere, Yanir A.
Rubinstein, Natasa Sesum, Jian Song, Jeffrey Streets, Neil S.
Trudinger, Yu Yuan, Weiping Zhang, Xiaohua Zhu and Aleksey Zinger.
Extremal Optimization: Fundamentals, Algorithms, and Applications
introduces state-of-the-art extremal optimization (EO) and modified
EO (MEO) solutions from fundamentals, methodologies, and algorithms
to applications based on numerous classic publications and the
authors' recent original research results. It promotes the movement
of EO from academic study to practical applications. The book
covers four aspects, beginning with a general review of real-world
optimization problems and popular solutions with a focus on
computational complexity, such as "NP-hard" and the "phase
transitions" occurring on the search landscape. Next, it introduces
computational extremal dynamics and its applications in EO from
principles, mechanisms, and algorithms to the experiments on some
benchmark problems such as TSP, spin glass, Max-SAT (maximum
satisfiability), and graph partition. It then presents studies on
the fundamental features of search dynamics and mechanisms in EO
with a focus on self-organized optimization, evolutionary
probability distribution, and structure features (e.g., backbones),
which are based on the authors' recent research results. Finally,
it discusses applications of EO and MEO in multiobjective
optimization, systems modeling, intelligent control, and production
scheduling. The authors present the advanced features of EO in
solving NP-hard problems through problem formulation, algorithms,
and simulation studies on popular benchmarks and industrial
applications. They also focus on the development of MEO and its
applications. This book can be used as a reference for graduate
students, research developers, and practical engineers who work on
developing optimization solutions for those complex systems with
hardness that cannot be solved with mathematical optimization or
other computational intelligence, such as evolutionary
computations.
|
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