PREFACE

To Accelerate the Pace of Engineering and Science. These eight words have summarized the MathWorks mission for over 30 years.

In that time, it has been an honor and a humbling experience to see engineers and scientists using MATLAB and Simulink to create transformational breakthroughs in an amazingly diverse range of applications: the electrification and increasing autonomy of automobiles; the dramatically more accurate models and forecasts of our weather and climates; the increased performance and safety of aircraft; the insights from neuroscientists about how our brains and bodies work; the pervasiveness of wireless communications; the reliability of power grids; and much more.

At the same time, MATLAB and Simulink have helped countless students in engineering and science courses to learn key technical concepts and apply them to realworld problems, preparing them better for roles in research, teaching, and industry. They are also equipped to become lifelong learners, exploring for new techniques, combining them, and applying them in novel ways.

Today, the pace of innovation in engineering and science is astonishing. That pace is fueled by huge volumes of data, matched with computing hardware and machinelearning algorithms for extracting information from it. It is embodied by software and algorithms in almost every type of system—from children ’s toys to household appliances to robots and manufacturing systems to almost every form of transportation—making those systems more functional, flexible, and autonomous. Most important, that pace is driven by the engineers and scientists who gain the insights, create the technologies, and design the innovative systems.

To support today’s pace of innovation, MATLAB has evolved into a broad and unifying technical computing platform, spanning well-established methods, such as control design and signal processing, with exciting newer areas, such as deep learning, robotics, and IoT development. For today’s smart connected systems, Simulink is the platform that enables you to simulate those systems, optimize the design, and automatically generate the embedded code.

The topics in this book series reflect the broad set of areas that MATLAB and Simulink bring together: large-scale programming, machine learning, scientific computing, robotics, and more. We are delighted to collaborate on this series, in support of our ongoing goal: to enable you to accelerate the pace of your engineering and scientific work.

I look forward to the innovations that you will create!

Jim Tung

MathWorks Fellow