
Automatic Control, Robotics, and Information Processing, Volume 2
Description
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 progress 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. This publication is a continuation of the monograph Automatic Control, Robotics, and Information Processing, edited by Piotr Kulczycki, Józef Korbicz, and Janusz Kacprzyk, published by Springer in 2021.
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Content
Algorithm for Estimation of Distribution Density for Data Streams with Trend.- Outlier Insensitive Estimation of Process Parameters in Practical Applications.- Application of Signal Processing Techniques to Control and Quality Monitoring of Processes.- Determination of the Numbers of Stable and Unstable Eigenvalues of the System Matrix by the Use of Gersgorin Theorem.- Methods for Improving the Robustness of Model Predictive Control Systems.