具体描述
Observers are digital algorithms that combine sensor outputs with knowledge of the system to provide results superior to traditional structures, which rely wholly on sensors. Observers have been used in selected industries for years, but most books explain them with complex mathematics. This book uses intuitive discussion, software experiments, and supporting analysis to explain the advantages and disadvantages of observers. If you are working in controls and want to improve your control systems, observers could be the technology you need and this book will give you a clear, thorough explanation of how they work and how to use them. Control systems and devices have become the most essential part of nearly all mechanical systems, machines, devices and manufacturing systems throughout the world. Increasingly the efficiency of production, the reliability of output and increased energy savings are a direct result of the quality and deployment of the control system. A modern and essential tool within the engineer's kit is the Observer which helps improve the performance and reduce the cost of these systems. George Ellis is the author of the highly successful Control System Design Guide (2nd Edition). Unlike most controls books, which are written by control theorists and academics, Ellis is a leading engineer, designer, author and lecturer working in industry directly with the users of industrial motion control systems. Observers in Control Systems is written for all professional engineers and is designed to be utilized without an in-depth background in control theory. This is a "real-world" book which will demonstrate how observers work and how they can improve your control system. It also shows how observers operate when conditions are not ideal and teaches the reader how to quickly tune an observer in a working system. Software Available on line: a free updated and enhanced version of the author's popular Visual ModelQ allows the reader to practice the concepts with Visual ModelQ models on a PC. Based on a virtual laboratory, all key topics are demonstrated with more than twenty control system models. The models are written in Visual ModelQ ,and are available on the Internet to every reader with a PC. It teaches observers and Kalman filters from an intuitive perspective. It explains how to reduce control system susceptibility to noise. It shows how to design an adaptive controller based on estimating parameter variation using observers. It shows how to improve a control system's ability to reject disturbances. Key topics are demonstrated with PC-based models of control systems. The models are written in both MatLab[registered] and ModelQ; and models are available free of charge.
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这本《Observers in Control Systems》的阅读体验简直是一场智力上的探险。它不仅仅是一本教科书，更像是一份详尽的路线图，引导读者穿梭于复杂控制理论的迷宫之中。我尤其欣赏作者在介绍经典观测器设计方法时所展现出的那种严谨而又不失生动的笔触。例如，在阐述Luenberger观测器的收敛性和稳定性时，书中没有止步于冰冷的数学公式，而是通过引入一些贴近实际的系统模型案例，让抽象的概念变得触手可及。书中对观测器在状态估计中的局限性分析得非常透彻，这对于工程实践者来说至关重要，因为它避免了盲目套用理论而导致的工程失败。书中对于如何平衡观测器带宽与噪声敏感度这一核心矛盾的讨论，简直是点睛之笔，它揭示了理论与实践之间的微妙平衡艺术。读完相关章节，我感觉自己对“如何安全可靠地从不完全信息中重建系统状态”这一核心命题有了更深层次的理解，这远超出了我对一本专业书籍的预期。
评分这本书的写作风格，简直可以称得上是“化繁为简”的典范。我过去阅读过几本关于状态估计的书籍，往往在面对高维非线性系统时，数学推导就变得难以驾驭，让人望而却步。然而，在《Observers in Control Systems》中，作者却能用一种近乎叙事的方式，将复杂的矩阵微分和偏微分方程融入到清晰的系统描述中。特别是关于滑动模式观测器（Sliding Mode Observers）的部分，书中通过一个机械臂控制的例子，生动地展示了如何通过选择合适的切换函数来保证观测器在存在不确定性和外部干扰下的鲁棒性。这种将抽象数学与具体物理现象紧密结合的处理手法，极大地提升了阅读的乐趣和效率。读完后，我不仅知道了“怎么做”，更重要的是理解了“为什么这样做”，这才是真正有价值的知识沉淀。
评分要说这本书最令人称道的一点，那就是它无与伦比的图表质量和排版设计。在技术书籍中，清晰的图示往往比冗长的文字更具说服力。这本书中的每一个系统框图、每一个仿真波形图，都绘制得极为精细，线条清晰，标注明确。例如，在对比不同观测器对阶跃输入的响应时，书中给出的对比图不仅展示了估计误差的收敛速度，还直观地揭示了不同观测器在瞬态响应中产生的“过冲”程度，这种视觉上的冲击力远胜于纯粹的数值分析。而且，全书的索引和交叉引用系统做得非常出色，当我需要回顾某一特定参数对观测器性能影响的讨论时，可以迅速定位到所有相关的章节。这本书的物理呈现质量，本身就体现了一种对细节的极致追求，让人在阅读过程中感到非常舒适和专业。
评分翻开这本书，我立刻被它那近乎百科全书式的全面性所震撼。它似乎涵盖了观测器理论的每一个角落，从早期的滤波器理论到最新的非线性观测器设计，结构组织得极为精妙。最让我印象深刻的是对卡尔曼滤波（Kalman Filtering）的深度剖析。作者没有采用那种常见的简化处理方式，而是深入探讨了扩展卡尔曼滤波（EKF）和无迹卡尔曼滤波（UKF）在处理非线性系统时的数学推导和实际性能差异。那些关于协方差矩阵迭代更新的细节，被分解得极其清晰，即便是初次接触这些复杂算法的读者，也能跟上思路。此外，书中对各种鲁棒观测器的介绍，如高增益观测器以及针对传感器故障的自适应观测器，展示了作者扎实的工程背景和对现实世界挑战的深刻洞察。这本书不仅仅是知识的堆砌，更像是一份精心策划的知识进阶路径，每一步都经过了深思熟虑，确保读者在吸收新知的同时，能够牢固掌握前置知识。
评分对于有志于从事先进控制研究的科研人员来说，这本书的价值在于它对前沿研究的关注度。它没有固步自封于经典的理论框架，而是慷慨地展示了近年来观测器设计领域的一些新兴方向。我特别关注了关于“基于数据驱动的观测器设计”那一章，其中探讨了如何利用机器学习的概念来辅助建立更精确的系统模型，进而设计出更高效的状态估计器。书中对这种跨学科融合的讨论，既保持了控制论的严谨性，又展现了对未来技术趋势的敏锐把握。虽然这些前沿部分相对其他章节略显理论化，但作者给出了清晰的研究脉络和未解难题的指引，这对于正在寻找博士论文方向的学生来说，无疑是宝贵的财富。它成功地搭建了一座连接经典理论和未来研究热点的桥梁。
评分没作者的另一本好
评分没作者的另一本好
评分没作者的另一本好
评分没作者的另一本好
评分没作者的另一本好
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