Fueled by advances in computer technology, model-based approaches to the control of industrial processes are now widespread. While there is an enormous literature on modeling, the difficult first step of selecting an appropriate model structure has received almost no attention. This book fills the gap, providing practical insight into model selection for chemical processes and emphasizing structures suitable for control system design.
Fueled by advances in computer technology, model-based approaches to the control of industrial processes are now widespread. While there is an enormou...
Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and behavioral approaches in characterizing and designing nonlinear digital filters, this book:
Begins with an expedient introduction to programming in the free, open-source computing environment of Python
Uses results from algebra and the theory of functional equations to...
Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a nu...
This textbook introduces exploratory data analysis (EDA) and covers the range of interesting features we can expect to find in data. The book also explores the practical mechanics of using R to do EDA. Based on the author's course at the University of Connecticut, the book assumes no prior exposure to data analysis or programming, and is designed to be as non-mathematical as possible. Exercises are included throughout, and a Solutions Manual will be available. The author will also provide a supplemental R package through the Comprehensive R Archive Network that will include implementations...
This textbook introduces exploratory data analysis (EDA) and covers the range of interesting features we can expect to find in data. The book also ...
