Automatic Control, Robotics, and Information Processing

Author:   Piotr Kulczycki ,  Józef Korbicz ,  Janusz Kacprzyk
Publisher:   Springer Nature Switzerland AG
Edition:   2021 ed.
Volume:   296
ISBN:  

9783030485894


Pages:   843
Publication Date:   04 September 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Automatic Control, Robotics, and Information Processing


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Overview

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.

Full Product Details

Author:   Piotr Kulczycki ,  Józef Korbicz ,  Janusz Kacprzyk
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2021 ed.
Volume:   296
Weight:   1.294kg
ISBN:  

9783030485894


ISBN 10:   3030485897
Pages:   843
Publication Date:   04 September 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Parametric identification for robust control.- Flow process models for pipeline diagnosis.- Output observers for linear infinite-dimensional control systems.- Non-Gaussian noise reduction in measurement signal processing.- Fractional order models of dynamic systems.- Switched models of non-integer order.- Nonlinear predictive control.- Positive linear control systems.- Controllability and stability of semilinear fractional order systems.- Computer simulation in analysis and design of control systems.

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