Optimal Measurement Methods for Distributed Parameter System Identification

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Publisher : CRC Press
ISBN 13 : 0203026780
Total Pages : 392 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis Optimal Measurement Methods for Distributed Parameter System Identification by : Dariusz Ucinski

Download or read book Optimal Measurement Methods for Distributed Parameter System Identification written by Dariusz Ucinski and published by CRC Press. This book was released on 2004-08-27 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. With the expense of scanning and moving sensors, optimal placement presents a critical problem.

Topics in Identification and Distributed Parameter Systems

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Publisher : Springer-Verlag
ISBN 13 : 3663139042
Total Pages : 170 pages
Book Rating : 4.41/5 ( download)

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Book Synopsis Topics in Identification and Distributed Parameter Systems by : Erhard Bühler

Download or read book Topics in Identification and Distributed Parameter Systems written by Erhard Bühler and published by Springer-Verlag. This book was released on 2013-07-02 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Distributed Parameter Systems

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Publisher :
ISBN 13 :
Total Pages : 624 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Distributed Parameter Systems by : Willis Harmon Ray

Download or read book Distributed Parameter Systems written by Willis Harmon Ray and published by . This book was released on 1978 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3642282296
Total Pages : 300 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems by : Maciej Patan

Download or read book Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems written by Maciej Patan and published by Springer Science & Business Media. This book was released on 2012-02-24 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensor networks have recently come into prominence because they hold the potential to revolutionize a wide spectrum of both civilian and military applications. An ingenious characteristic of sensor networks is the distributed nature of data acquisition. Therefore they seem to be ideally prepared for the task of monitoring processes with spatio-temporal dynamics which constitute one of most general and important classes of systems in modelling of the real-world phenomena. It is clear that careful deployment and activation of sensor nodes are critical for collecting the most valuable information from the observed environment. Optimal Sensor Network Scheduling in Identification of Distributed Parameter Systems discusses the characteristic features of the sensor scheduling problem, analyzes classical and recent approaches, and proposes a wide range of original solutions, especially dedicated for networks with mobile and scanning nodes. Both researchers and practitioners will find the case studies, the proposed algorithms, and the numerical examples to be invaluable.

Automatic Control, Robotics, and Information Processing

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Publisher : Springer Nature
ISBN 13 : 3030485870
Total Pages : 843 pages
Book Rating : 4.70/5 ( download)

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Book Synopsis Automatic Control, Robotics, and Information Processing by : Piotr Kulczycki

Download or read book Automatic Control, Robotics, and Information Processing written by Piotr Kulczycki and published by Springer Nature. This book was released on 2020-09-03 with total page 843 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a wide and comprehensive range of issues and problems in various fields of science and engineering, from both theoretical and applied perspectives. The desire to develop more effective and efficient tools and techniques for dealing with complex processes and systems has been a natural inspiration for the emergence of numerous fields of science and technology, in particular control and automation and, more recently, robotics. The contributions gathered here concern the development of methods and algorithms to determine best practices regarding broadly perceived decisions or controls. From an engineering standpoint, many of them focus on how to automate a specific process or complex system. From a tools-based perspective, several contributions address the development of analytic and algorithmic methods and techniques, devices and systems that make it possible to develop and subsequently implement the automation and robotization of crucial areas of human activity. All topics discussed are illustrated with sample applications.

System Modeling and Optimization

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Publisher : Springer
ISBN 13 : 3662455048
Total Pages : 361 pages
Book Rating : 4.43/5 ( download)

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Book Synopsis System Modeling and Optimization by : Christian Pötzsche

Download or read book System Modeling and Optimization written by Christian Pötzsche and published by Springer. This book was released on 2014-11-27 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of thoroughly refereed papers presented at the 26th IFIP TC 7 Conference on System Modeling and Optimization, held in Klagenfurt, Austria, in September 2013. The 34 revised papers were carefully selected from numerous submissions. They cover the latest progress in a wide range of topics such as optimal control of ordinary and partial differential equations, modeling and simulation, inverse problems, nonlinear, discrete, and stochastic optimization as well as industrial applications.

Model Based Parameter Estimation

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Publisher : Springer Science & Business Media
ISBN 13 : 3642303676
Total Pages : 342 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis Model Based Parameter Estimation by : Hans Georg Bock

Download or read book Model Based Parameter Estimation written by Hans Georg Bock and published by Springer Science & Business Media. This book was released on 2013-02-26 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts. These include fields as diverse as biology, medicine, chemistry, environmental physics, image processing and computer vision. The material chosen was presented at a multidisciplinary workshop on parameter estimation held in 2009 in Heidelberg. The contributions show how indispensable efficient methods of applied mathematics and computer-based modeling can be to enhancing the quality of interdisciplinary research. The use of scientific computing to model, simulate, and optimize complex processes has become a standard methodology in many scientific fields, as well as in industry. Demonstrating that the use of state-of-the-art optimization techniques in a number of research areas has much potential for improvement, this book provides advanced numerical methods and the very latest results for the applications under consideration.

Advanced, Contemporary Control

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Publisher : Springer Nature
ISBN 13 : 3031351703
Total Pages : 412 pages
Book Rating : 4.09/5 ( download)

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Book Synopsis Advanced, Contemporary Control by : Marek Pawelczyk

Download or read book Advanced, Contemporary Control written by Marek Pawelczyk and published by Springer Nature. This book was released on 2023-06-15 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the reader to the hottest topics in current control sciences and robotics, as seen by scientists from Poland and other European countries. Volume 1 comprises 37 chapters, which specifically address topics connected to modeling, identification, and analysis of automation systems, to design of control systems, and to fault diagnosis and fault-tolerant control. The contributions were presented during XXI Polish Control Conference, held in Gliwice, Poland, from June 26 to 29, 2023. This book is extremely useful to all persons who want to know the latest trends in automation and robotics.

Controller Design for Distributed Parameter Systems

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Publisher : Springer Nature
ISBN 13 : 3030349497
Total Pages : 295 pages
Book Rating : 4.93/5 ( download)

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Book Synopsis Controller Design for Distributed Parameter Systems by : Kirsten A. Morris

Download or read book Controller Design for Distributed Parameter Systems written by Kirsten A. Morris and published by Springer Nature. This book was released on 2020-06-01 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses controller and estimator design for systems that vary both spatially and in time: systems like fluid flow, acoustic noise and flexible structures. It includes coverage of the selection and placement of actuators and sensors for such distributed-parameter systems. The models for distributed parameter systems are coupled ordinary/partial differential equations. Approximations to the governing equations, often of very high order, are required and this complicates both controller design and optimization of the hardware locations. Control system and estimator performance depends not only on the controller/estimator design but also on the location of the hardware. In helping the reader choose the best location for actuators and sensors, the analysis provided in this book is crucial because neither intuition nor trial-and-error is foolproof, especially where multiple sensors and actuators are required, and moving hardware can be difficult and costly. The mechatronic approach advocated, in which controller design is integrated with actuator location, can lead to better performance without increased cost. Similarly, better estimation can be obtained with carefully placed sensors. The text shows how proper hardware placement varies depending on whether, disturbances are present, whether the response should be reduced to an initial condition or whether controllability and/or observability have to be optimized. This book is aimed at non-specialists interested in learning controller design for distributed-parameter systems and the material presented has been used for student teaching. The relevant basic systems theory is presented and followed by a description of controller synthesis using lumped approximations. Numerical algorithms useful for efficient implementation in real engineering systems and practical computational challenges are also described and discussed.

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

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Publisher : Springer
ISBN 13 : 3540798722
Total Pages : 223 pages
Book Rating : 4.29/5 ( download)

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Book Synopsis Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes by : Krzysztof Patan

Download or read book Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes written by Krzysztof Patan and published by Springer. This book was released on 2008-06-11 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e?ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern industry as well as the information and communication technology revolution. Indeed, the design and operation of engineering systems require an increased attention with respect to availability, reliability, safety and fault tolerance. Thus, it is natural that fault diagnosis plays a fundamental role in modern control theory and practice. This is re?ected in plenty of papers on fault diagnosis in many control-oriented c- ferencesand journals.Indeed, a largeamount of knowledgeon model basedfault diagnosis has been accumulated through scienti?c literature since the beginning of the 1970s. As a result, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available.