Back to Statistics: Tail-Aware Control Performance Assessment [Hardcover]

1 The scope of the book? 2 Research also owns its distribution? 3 Attention! Outliers!? 4 Basic notions? 5 Normal distribution  the peak? 6 Non-Gaussian distributions  the tails? 7 Extreme statistics the power of tails? 8 What happens in tails?  outliers? 9 Visualization of statistical properties? 10 Research derivatives? 11 The feedback loop? 12 Control performance assessment? 13 Time matters  Control sustainability? 14 Single-element, multi-element and multivariate controls? 15 Systematic time series analysis procedure? 16 Systematic control system assessment procedure? 17 Industrial case studies

Due to the popularity of artificial intelligence today, scientists and practitioners tend to ignore the achievements of statistical methods. This book aims to re-establish statistical methods, especially for control practitioners, for whom the task of assessing control performance is important.

PaweB D. DomaDski was born in 1967 in Warsaw, Poland. He received the M.S. degree in 1991, the Ph.D. degree in 1996 and the D.Sc. degree in 2018, all in control engineering, from the Warsaw University of Technology. Since 1991 he has been working at the Institute of Control and Computational Engineering, Warsaw University of Technology. Besides scientific research, he has participated in dozens of industrial implementations of Advanced Process Control (APC) and optimisation in power and chemical industries. He is the (co-)author of three books and more than 150 publications. His main research interest is in industrial APC applications, control performance quality assessment and optimization. Currently, his research interest is shifting towards multi-agent modelling in the supply chain management environment.

Due to the popularity of artificial intelligence today, scientists and practitioners tend to ignore the achievements of statistical methods. This book aims to re-establish statistical methodsl“)