在这篇演讲中，我将介绍因果人工智能(因果结构学习、因果推理、反事实推理、因果表征学习和因果迁移学习)在解决计算机系统中几个重要而突出的挑战方面的最新进展。接下来，我将介绍我们的因果AI方法，用于在高度可配置的组合系统中进行鲁棒的性能工程(性能调试、性能优化和性能预测)。特别地，我将介绍在设备上ML系统和大数据分析管道中识别和修复性能故障的最新结果。最后，我将讨论因果AI在测试自主机器人和动态重构无服务器系统和微服务方面的未来方向和机会。 视频地址： https://www.youtube.com/watch?v=csB_cF6MA9A

Clocking in Modern VLSI Systems. Clocking in Modern VLSI Systems. Clocking in Modern VLSI Systems.

日立电器Hitachi-201506_IR Day-Power Systems and Energy Solutions Business Strategy Presentation_By_CEO.pdf

The purpose of this document is to clearly articulate and establish the requirements on the implementing organization for performing systems engineering. Systems Engineering (SE) is a logical systems approach performed by multidisciplinary teams to engineer and integrate NASA's systems to ensure NASA products meet customers' needs. Implementation of this systems approach will enhance NASA's core engineering capabilities while improving safety, mission success, and affordability. This systems approach is applied to all elements of a system (i.e., hardware, software, human system integration) and all hierarchical levels of a system over the complete project life cycle.

系泊系统matlab代码自回归系统的倒谱识别 自回归系统倒谱识别论文随附的数字插图代码。 概括 此存储库中的（Matlab）代码重新创建了手稿“自回归系统的倒谱识别”中的数值示例，其预印本可以在 Oliver Lauwers、Christof Vermeersch 和 Bart De Moor 上找到，该手稿开发了一种新颖的、极其高效的系统识别技术，从输入和输出信号的功率倒谱开始估计系统的差分方程。 该算法然后由一组差分方程的精确解组成。 这份手稿已发送至 Automatica 以供考虑出版。 有几个数值示例可用： 一个简单的数值说明，由一个完全已知的合成模型组成。 我们模拟输入和输出数据，并识别系统，以与原始系统进行比较。 一个带有合成数据的示例，以显示鲁棒性和收敛行为。 一个示例显示了倒谱系统识别技术的改进偏置行为，用于识别来自同一系统的一组信号的代表性动态。 尤尔太阳黑子数的历史、规范现实数据集。 通过自回归模型进行结构健康监测的实际应用。 请记住，此代码并不意味着是一个完整的软件包，而只是作为前面提到的手稿随附的插图。 参考 使用此代码或讨论倒谱系统识别结果时，请参阅 。 结构

经典图书linear system by lailath 英文pdf版

Information Systems Today Managing the Digital World(8th) 英文无水印原版pdf 第8版 pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

英文原版,可编辑. 包含书签和目录. 目录可跳转. The purpose of this book is to provide an introduction to system theory with emphasis on control theory. It is intended to be the textbook of a typical one-semester course introduction to systems primarily for first-year graduate students in engineering, but also in mathematics, physics, and the rest of the sciences. Prerequisites for such a course include undergraduate-level differential equations and linear algebra, Laplace transforms, and modeling ideas of, say, electric circuits and simple mechanical systems. These topics are typically covered in the usual undergraduate curricula in engineering and sciences. The goal of this text is to provide a clear understanding of the fundamental concepts of systems and control theory, to highlight appropriately the principal results, and to present material sufficiently broad so that the reader will emerge with a clear picture of the dynamical behavior of linear systems and their advantages and limitations.

加利福尼亚伯克利大学的嵌入式系统课程——Lee & Seshia: Introduction to Embedded Systems - A Cyber-Physical Systems Approach的英文原版课件，总共720页，制作了详细的书签。

Introduction to Embedded Systems