Share

Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems

Download Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems PDF Online Free

Author :
Release : 2012-03-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 317/5 ( reviews)

GET EBOOK


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. This book was released on 2012-03-02. 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.

Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems

Download Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems PDF Online Free

Author :
Release : 2012-02-23
Genre : Technology & Engineering
Kind : eBook
Book Rating : 30X/5 ( reviews)

GET EBOOK


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. This book was released on 2012-02-23. 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.

Advanced and Intelligent Computations in Diagnosis and Control

Download Advanced and Intelligent Computations in Diagnosis and Control PDF Online Free

Author :
Release : 2015-09-01
Genre : Technology & Engineering
Kind : eBook
Book Rating : 804/5 ( reviews)

GET EBOOK


Book Synopsis Advanced and Intelligent Computations in Diagnosis and Control by : Zdzisław Kowalczuk

Download or read book Advanced and Intelligent Computations in Diagnosis and Control written by Zdzisław Kowalczuk. This book was released on 2015-09-01. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the demands of research and industrial centers for diagnostics, monitoring and decision making systems that result from the increasing complexity of automation and systems, the need to ensure the highest level of reliability and safety, and continuing research and the development of innovative approaches to fault diagnosis. The contributions combine domains of engineering knowledge for diagnosis, including detection, isolation, localization, identification, reconfiguration and fault-tolerant control. The book is divided into six parts: (I) Fault Detection and Isolation; (II) Estimation and Identification; (III) Robust and Fault Tolerant Control; (IV) Industrial and Medical Diagnostics; (V) Artificial Intelligence; (VI) Expert and Computer Systems.

Optimal Input Signals for Parameter Estimation

Download Optimal Input Signals for Parameter Estimation PDF Online Free

Author :
Release : 2022-03-07
Genre : History
Kind : eBook
Book Rating : 048/5 ( reviews)

GET EBOOK


Book Synopsis Optimal Input Signals for Parameter Estimation by : Ewaryst Rafajłowicz

Download or read book Optimal Input Signals for Parameter Estimation written by Ewaryst Rafajłowicz. This book was released on 2022-03-07. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide methods and algorithms for the optimization of input signals so as to estimate parameters in systems described by PDE’s as accurate as possible under given constraints. The optimality conditions have their background in the optimal experiment design theory for regression functions and in simple but useful results on the dependence of eigenvalues of partial differential operators on their parameters. Examples are provided that reveal sometimes intriguing geometry of spatiotemporal input signals and responses to them. An introduction to optimal experimental design for parameter estimation of regression functions is provided. The emphasis is on functions having a tensor product (Kronecker) structure that is compatible with eigenfunctions of many partial differential operators. New optimality conditions in the time domain and computational algorithms are derived for D-optimal input signals when parameters of ordinary differential equations are estimated. They are used as building blocks for constructing D-optimal spatio-temporal inputs for systems described by linear partial differential equations of the parabolic and hyperbolic types with constant parameters. Optimality conditions for spatially distributed signals are also obtained for equations of elliptic type in those cases where their eigenfunctions do not depend on unknown constant parameters. These conditions and the resulting algorithms are interesting in their own right and, moreover, they are second building blocks for optimality of spatio-temporal signals. A discussion of the generalizability and possible applications of the results obtained is presented.

Automatic Control, Robotics, and Information Processing

Download Automatic Control, Robotics, and Information Processing PDF Online Free

Author :
Release : 2020-09-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 870/5 ( reviews)

GET EBOOK


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. This book was released on 2020-09-03. 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.

You may also like...