序言 FOREWORD 致力于加快工程技术和科学研究的步伐——这句话总结了 MathWorks 坚持超过 30 年的使命。 在这期间，MathWorks 有幸见证了工程师和科学家使用 MATLAB 和 Simulink 在多个应用领域中的无 数变革和突破：汽车行业的电气化和不断提高的自动化；日益精确的气象建模和预测；航空航天领域持 续提高的性能和安全指标；由神经学家破解的大脑和身体奥秘；无线通信技术的普及；电力网络的可靠 性；等等。 与此同时，MATLAB 和 Simulink 也帮助了无数大学生在工程技术和科学研究课程里学习关键的技术 理念并应用于实际问题，培养他们成为栋梁之材，更好地投入科研、教学以及工业应用，指引他们致力 于学习、探索先进的技术，融合并应用于创新实践。 如今，工程技术和科研创新的步伐令人惊叹。创新进程以大量的数据为驱动，结合相应的计算硬件 和用于提取信息的机器学习算法。软件和算法几乎无处不在——从孩子的玩具到家用设备，从机器人和 制造体系到每种运输方式——让这些系统更具功能性、灵活性、自主性。最重要的是，工程师和科学家 推动了这些进程，他们洞悉问题，创造技术，设计革新系统。 为了支持创新的步伐，MATLAB 发展成为一个广泛而统一的计算技术平台，将成熟的技术方法（如 控制设计和信号处理）融入令人激动的新兴领域，如深度学习、机器人、物联网开发等。对于现在的智 能连接系统，Simulink 平台可以让您实现模拟系统，优化设计，并自动生成嵌入式代码。 “科学与工程计算技术丛书”系列主题反映了 MATLAB 和 Simulink 汇集的领域——大规模编程、机 器学习、科学计算、机器人等。我们高兴地看到“科学与工程计算技术丛书”支持 MathWorks 一直以来 追求的目标：助您加速工程技术和科学研究。 期待着您的创新！ Jim Tung MathWorks Fellow 前 言 3 序言 FOREWORD 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 real-world 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 machine-learning 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

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