Modelling, Estimation and Control of Networked Complex Systems


Author: Alessandro Chiuso,Luigi Fortuna,Mattia Frasca,Alessandro Rizzo,Luca Schenato,Sandro Zampieri

Publisher: Springer Science & Business Media

ISBN: 3642031986

Category: Technology & Engineering

Page: 238

View: 1485

The paradigm of complexity is pervading both science and engineering, le- ing to the emergence of novel approaches oriented at the development of a systemic view of the phenomena under study; the de?nition of powerful tools for modelling, estimation, and control; and the cross-fertilization of di?erent disciplines and approaches. One of the most promising paradigms to cope with complexity is that of networked systems. Complex, dynamical networks are powerful tools to model, estimate, and control many interesting phenomena, like agent coordination, synch- nization, social and economics events, networks of critical infrastructures, resourcesallocation,informationprocessing,controlovercommunicationn- works, etc. Advances in this ?eld are highlighting approaches that are more and more oftenbasedondynamicalandtime-varyingnetworks,i.e.networksconsisting of dynamical nodes with links that can change over time. Moreover, recent technological advances in wireless communication and decreasing cost and size of electronic devices are promoting the appearance of large inexpensive interconnected systems, each with computational, sensing and mobile ca- bilities. This is fostering the development of many engineering applications, which exploit the availability of these systems of systems to monitor and control very large-scale phenomena with ?ne resolution.

AsiaSim 2013

13th International Conference on Systems Simulation, Singapore, November 6-8, 2013. Proceedings


Author: Gary Tan,Gee Kin Yeo,Stephen John Turner,Yong Meng Teo

Publisher: Springer

ISBN: 3642450377

Category: Computers

Page: 601

View: 6712

This book constitutes the refereed proceedings of the 13th International Conference on Systems Simulation, Asia Simulation 2013, held in Singapore, in November 2013. The 45 revised full papers presented together with 18 short papers were carefully reviewed and selected from numerous submissions. The papers address issues such as agent based simulation, scheduling algorithms, simulation methods and tools, simulation and visualization, modeling methodology, simulation in science and engineering, high performance computing and simulation and parallel and distributed simulation.

Optimization and Control Methods in Industrial Engineering and Construction


Author: Honglei Xu,Xiangyu Wang

Publisher: Springer Science & Business Media

ISBN: 9401780447

Category: Technology & Engineering

Page: 296

View: 7691

This book presents recent advances in optimization and control methods with applications to industrial engineering and construction management. It consists of 15 chapters authored by recognized experts in a variety of fields including control and operation research, industrial engineering and project management. Topics include numerical methods in unconstrained optimization, robust optimal control problems, set splitting problems, optimum confidence interval analysis, a monitoring networks optimization survey, distributed fault detection, nonferrous industrial optimization approaches, neural networks in traffic flows, economic scheduling of CCHP systems, a project scheduling optimization survey, lean and agile construction project management, practical construction projects in Hong Kong, dynamic project management, production control in PC4P and target contracts optimization. The book offers a valuable reference work for scientists, engineers, researchers and practitioners in industrial engineering and construction management.

Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures


Author: George Deodatis,Bruce R. Ellingwood,Dan M. Frangopol

Publisher: CRC Press

ISBN: 1315884887

Category: Technology & Engineering

Page: 1112

View: 5349

Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures contains the plenary lectures and papers presented at the 11th International Conference on STRUCTURAL SAFETY AND RELIABILITY (ICOSSAR2013, New York, NY, USA, 16-20 June 2013), and covers major aspects of safety, reliability, risk and life-cycle performance of str

Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (DYCORD+ '92)

Selected Papers from the 3rd IFAC Symposium, Maryland, USA, 26-29 April 1992


Author: J.G. Balchen,E.D. Gilles,K.V. Waller,J.B. Rawlings

Publisher: Elsevier

ISBN: 1483298779

Category: Science

Page: 380

View: 2477

In addition to the three main themes: chemical reactors, distillation columns, and batch processes this volume also addresses some of the new trends in dynamics and control methodology such as model based predictive control, new methods for identification of dynamic models, nonlinear control theory and the application of neural networks to identification and control. Provides a useful reference source of the major advances in the field.

Adaptive Modelling, Estimation and Fusion from Data

A Neurofuzzy Approach


Author: Chris Harris,Xia Hong,Qiang Gan

Publisher: Springer Science & Business Media

ISBN: 9783540426868

Category: Computers

Page: 323

View: 5833

In a world of almost permanent and rapidly increasing electronic data availability, techniques of filtering, compressing, and interpreting this data to transform it into valuable and easily comprehensible information is of utmost importance. One key topic in this area is the capability to deduce future system behavior from a given data input. This book brings together for the first time the complete theory of data-based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data-based modelling, new concepts including extended additive and multiplicative submodels are developed and their extensions to state estimation and data fusion are derived. All these algorithms are illustrated with benchmark and real-life examples to demonstrate their efficiency. Chris Harris and his group have carried out pioneering work which has tied together the fields of neural networks and linguistic rule-based algortihms. This book is aimed at researchers and scientists in time series modeling, empirical data modeling, knowledge discovery, data mining, and data fusion.

Efficient Modeling and Control of Large-Scale Systems


Author: Javad Mohammadpour,Karolos M. Grigoriadis

Publisher: Springer Science & Business Media

ISBN: 9781441957573

Category: Technology & Engineering

Page: 335

View: 1900

Complexity and dynamic order of controlled engineering systems is constantly increasing. Complex large scale systems (where "large" reflects the system’s order and not necessarily its physical size) appear in many engineering fields, such as micro-electromechanics, manufacturing, aerospace, civil engineering and power engineering. Modeling of these systems often result in very high-order models imposing great challenges to the analysis, design and control problems. "Efficient Modeling and Control of Large-Scale Systems" compiles state-of-the-art contributions on recent analytical and computational methods for addressing model reduction, performance analysis and feedback control design for such systems. Also addressed at length are new theoretical developments, novel computational approaches and illustrative applications to various fields, along with: - An interdisciplinary focus emphasizing methods and approaches that can be commonly applied in various engineering fields -Examinations of applications in various fields including micro-electromechanical systems (MEMS), manufacturing processes, power networks, traffic control "Efficient Modeling and Control of Large-Scale Systems" is an ideal volume for engineers and researchers working in the fields of control and dynamic systems.

Applied Mathematics for Restructured Electric Power Systems

Optimization, Control, and Computational Intelligence


Author: Joe H. Chow,Felix F. Wu,James A. Momoh

Publisher: Springer Science & Business Media

ISBN: 9780387234700

Category: Technology & Engineering

Page: 324

View: 5457

Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction. This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.

Neural Network Control Of Robot Manipulators And Non-Linear Systems


Author: F W Lewis,S. Jagannathan,A Yesildirak

Publisher: CRC Press

ISBN: 9780748405961

Category: Technology & Engineering

Page: 468

View: 4794

There has been great interest in "universal controllers" that mimic the functions of human processes to learn about the systems they are controlling on-line so that performance improves automatically. Neural network controllers are derived for robot manipulators in a variety of applications including position control, force control, link flexibility stabilization and the management of high-frequency joint and motor dynamics. The first chapter provides a background on neural networks and the second on dynamical systems and control. Chapter three introduces the robot control problem and standard techniques such as torque, adaptive and robust control. Subsequent chapters give design techniques and Stability Proofs For NN Controllers For Robot Arms, Practical Robotic systems with high frequency vibratory modes, force control and a general class of non-linear systems. The last chapters are devoted to discrete- time NN controllers. Throughout the text, worked examples are provided.

Hybrid Systems: Computation and Control

6th International Workshop, HSCC 2003 Prague, Czech Republic, April 3-5, 2003, Proceedings


Author: Oded Maler,HSCC (6, 2003, Praha),Czech Republic) Hscc 200 (2003 Prague

Publisher: Springer Science & Business Media

ISBN: 3540009132

Category: Computers

Page: 558

View: 3834

This book constitues the refereed proceedings of the 6th International Workshop on Hybrid Systems: Computation and Control, HSCC 2003, held in Prague, Czech Republic, in April 2003. The 36 revised full papers presented were carefully reviewed and selected from 75 submissions. All current issues in hybrid systems are addressed including formal methods for analysis and control, computational tools, as well as innovative applications in various fields such as automotive control, the immune system, electrical circuits, operating systems, and human brains.

Advances in Dynamic Network Modeling in Complex Transportation Systems


Author: Satish V. Ukkusuri,Kaan Ozbay

Publisher: Springer Science & Business Media

ISBN: 1461462436

Category: Business & Economics

Page: 316

View: 6491

This edited book focuses on recent developments in Dynamic Network Modeling, including aspects of route guidance and traffic control as they relate to transportation systems and other complex infrastructure networks. Dynamic Network Modeling is generally understood to be the mathematical modeling of time-varying vehicular flows on networks in a fashion that is consistent with established traffic flow theory and travel demand theory. Dynamic Network Modeling as a field has grown over the last thirty years, with contributions from various scholars all over the field. The basic problem which many scholars in this area have focused on is related to the analysis and prediction of traffic flows satisfying notions of equilibrium when flows are changing over time. In addition, recent research has also focused on integrating dynamic equilibrium with traffic control and other mechanism designs such as congestion pricing and network design. Recently, advances in sensor deployment, availability of GPS-enabled vehicular data and social media data have rapidly contributed to better understanding and estimating the traffic network states and have contributed to new research problems which advance previous models in dynamic modeling. A recent National Science Foundation workshop on “Dynamic Route Guidance and Traffic Control” was organized in June 2010 at Rutgers University by Prof. Kaan Ozbay, Prof. Satish Ukkusuri , Prof. Hani Nassif, and Professor Pushkin Kachroo. This workshop brought together experts in this area from universities, industry and federal/state agencies to present recent findings in this area. Various topics were presented at the workshop including dynamic traffic assignment, traffic flow modeling, network control, complex systems, mobile sensor deployment, intelligent traffic systems and data collection issues. This book is motivated by the research presented at this workshop and the discussions that followed.

Advances in Neural Networks - ISNN 2005

Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings


Author: Jun Wang,Xiaofeng Liao

Publisher: Springer Science & Business Media

ISBN: 3540259147

Category: Computers

Page: 1077

View: 7252

This book and its sister volumes constitute the proceedings of the 2nd International Symposium on Neural Networks (ISNN 2005). ISNN 2005 was held in the beautiful mountain city Chongqing by the upper Yangtze River in southwestern China during May 30-June 1, 2005, as a sequel of ISNN 2004 successfully held in Dalian, China. ISNN emerged as a leading conference on neural computation in the region with - creasing global recognition and impact. ISNN 2005 received 1425 submissions from authors on ?ve continents (Asia, Europe, North America, South America, and Oc- nia), 33 countries and regions (Mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, India, Nepal, Iran, Qatar, United Arab Emirates, Turkey, Lithuania, Hungary, Poland, Austria, Switzerland, Germany, France, Sweden, Norway, Spain, Portugal, UK, USA, Canada, Venezuela, Brazil, Chile, Australia, and New Zealand). Based on rigorous reviews, 483 high-quality papers were selected by the Program Committee for presentation at ISNN 2005 and publication in the proce- ings, with an acceptance rate of less than 34%. In addition to the numerous contributed papers, 10 distinguished scholars were invited to give plenary speeches and tutorials at ISNN 2005.

Neural Network-Based State Estimation of Nonlinear Systems

Application to Fault Detection and Isolation


Author: Heidar A. Talebi,Farzaneh Abdollahi,Rajni V. Patel,Khashayar Khorasani

Publisher: Springer

ISBN: 1441914382

Category: Technology & Engineering

Page: 154

View: 7510

"Neural Network-Based State Estimation of Nonlinear Systems" presents efficient, easy to implement neural network schemes for state estimation, system identification, and fault detection and Isolation with mathematical proof of stability, experimental evaluation, and Robustness against unmolded dynamics, external disturbances, and measurement noises.

Semi-Autonomous Networks

Effective Control of Networked Systems through Protocols, Design, and Modeling


Author: Airlie Chapman

Publisher: Springer

ISBN: 3319150103

Category: Science

Page: 187

View: 1344

This thesis analyzes and explores the design of controlled networked dynamic systems - dubbed semi-autonomous networks. The work approaches the problem of effective control of semi-autonomous networks from three fronts: protocols which are run on individual agents in the network; the network interconnection topology design; and efficient modeling of these often large-scale networks. The author extended the popular consensus protocol to advection and nonlinear consensus. The network redesign algorithms are supported by a game-theoretic and an online learning regret analysis.

Intelligent Fractional Order Systems and Control

An Introduction


Author: Indranil Pan,Saptarshi Das

Publisher: Springer

ISBN: 3642315496

Category: Computers

Page: 298

View: 3811

Fractional order calculus is finding increasing interest in the control system community. Hardware realizations of fractional order controllers have sparked off a renewed zeal into the investigations of control system design in the light of fractional calculus. As such many notions of integer order LTI systems are being modified and extended to incorporate these new concepts. Computational Intelligence (CI) techniques have been applied to engineering problems to find solutions to many hitherto intractable conundrums and is a useful tool for dealing with problems of higher computational complexity. This book borders on the interface between CI techniques and fractional calculus, and looks at ways in which fractional order control systems may be designed or enhanced using CI based paradigms. To the best of the author’s knowledge this is the first book of its kind exclusively dedicated to the application of computational intelligence techniques in fractional order systems and control. The book tries to assimilate various existing concepts in this nascent field of fractional order intelligent control and is aimed at researchers and post graduate students working in this field.

Neural Network Applications in Control


Author: George William Irwin,K. Warwick,Kenneth J. Hunt,Institution of Electrical Engineers

Publisher: IET

ISBN: 9780852968529

Category: Technology & Engineering

Page: 295

View: 1324

Introducing a wide variety of network types, including Kohenen nets, n-tuple nets and radial basis function networks as well as the more useful multilayer perception back-propagation networks, this book aims to give a detailed appreciation of the use of neural nets in these applications.

Applied Data Analysis and Modeling for Energy Engineers and Scientists


Author: T. Agami Reddy

Publisher: Springer Science & Business Media

ISBN: 9781441996138

Category: Technology & Engineering

Page: 430

View: 1070

Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools.


Advanced Control and Computational Techniques


Author: Hossein G. Gilani,Katia G. Samper,Reza Khodaparast Haghi

Publisher: CRC Press

ISBN: 1926895231

Category: Science

Page: 214

View: 757

Chemoinformatics: Advanced Control and Computational Techniques provides an important understanding of the main computational techniques used for processing chemical and biological structural data. The theoretical background to a number of techniques is introduced. General data analysis techniques and examination of the application techniques in the industy are presented, along with current practices and current research. The book also provides practical experience of commercially available systems and includes small-scale chemoinformatics-related projects. The book offers scope for academics, researchers, and engineering professionals. Chapters range from new methods to novel applications of existing methods and help provide an understanding of the material and/or structural behavior of new and advanced systems. It includes innovative chapters on the growth of educational, scientific, and industrial research activities among chemical engineers. It provides the latest coverage of chemical databases and the development of new computational methods and efficient algorithms for chemical software and chemical engineering.

Analysis and Management of Animal Populations

Modeling, Estimation, and Decision Making


Author: Byron K. Williams,James D. Nichols,Michael J. Conroy

Publisher: Academic Press

ISBN: 0127544062

Category: Science

Page: 817

View: 4529

Analysis and Management of Animal Populations deals with the processes involved in making informed decisions about the management of animal populations. It covers the modeling of population responses to management actions, the estimation of quantities needed in the modeling effort, and the application of these estimates and models to the development of sound management decisions. The book synthesizes and integrates in a single volume the methods associated with these themes, as they apply to ecological assessment and conservation of animal populations. Key Features *Integrates population modeling, parameter estimation and decision-theoretic approaches to management in a single, cohesive framework * Provides authoritative, state-of-the-art descriptions of quantitative approaches to modeling, estimation and decision-making * Emphasizes the role of mathematical modeling in the conduct of science and management * Utilizes a unifying biological context, consistent mathematical notation, and numerous biological examples

Computational Intelligence in Systems and Control Design and Applications


Author: S.G. Tzafestas

Publisher: Springer Science & Business Media

ISBN: 9781402003943

Category: Mathematics

Page: 376

View: 4214

This book contains thirty timely contributions in the emerging field of Computational Intelligence (CI) with reference to system control design and applications. The three basic constituents ofCI are neural networks (NNs). fuzzy logic (FL) I fuzzy reasoning (FR). and genetic algorithms (GAs). NNs mimic the distributed functioning of the human brain and consist of many. rather simple. building elements (called artificial neurons) which are controlled by adaptive parameters and are able to incorporate via learning the knowledge provided by the environment, and thus respond intelligently to new stimuli. Fuzzy logic (FL) provides the means to build systems that can reason linguistically under uncertainty like the human experts (common sense reasoning). Both NNs and FL I FR are among the most widely used tools for modeling unknown systems with nonlinear behavior. FL suits better when there is some kind of knowledge about the system. such as, for example, the linguistic information of a human expert. On the other hand. NNs possess unique learning and generalization capabilities that allow the user to construct very accurate models of nonlinear systems simply using input-output data. GAs offer an interesting set of generic tools for systematic random search optimization following the mechanisms of natural genetics. In hybrid Computational Intelligence - based systems these three tools (NNs, FL, GAs) are combined in several synergetic ways producing integrated tools with enhanced learning, generalization. universal approximation. reasoning and optimization abilities.