Signals, Instrumentation, Control, and Machine Learning: An Integrative Introduction (Paperback)

Signals, Instrumentation, Control, and Machine Learning: An Integrative Introduction By Joseph Bentsman Cover Image

Signals, Instrumentation, Control, and Machine Learning: An Integrative Introduction (Paperback)

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This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning.It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs.All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts.The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign.
Product Details ISBN: 9789811252310
ISBN-10: 9811252319
Publisher: World Scientific Publishing Company
Publication Date: July 8th, 2022
Pages: 844
Language: English