Signals, Instrumentation, Control, and Machine Learning: An Integrative Introduction

This comprehensive compendium provides an introduction to signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning. To assemble these topics into a coherent package, the book embeds them into a concrete engineering context.This important title forms an integrated package that includes visually rich text, sample take-home assignments, projects, and in-class exams, and an industrial grade software testbed that serves as a virtual software lab, reproducing the resonance problem in continuous steel casting mold oscillator and admitting the user-specified control laws.The unique reference text features a gradual buildup of concepts and techniques that involves the mold oscillation software testbed at every step, proceeding through nonparametric data-based system modeling and multiscale problem diagnostics and culminating in the resonance problem solution.