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Li Liang [PhDs in Control] 李亮[控制学博士]
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-04-01 DOI: 10.1109/mcs.2023.3234412
Li Liang
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引用次数: 0
Juncal Arbelaiz [PhDs in Control] Juncal Arbelaiz[控制学博士]
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-04-01 DOI: 10.1109/mcs.2023.3234385
Juncal Arbelaiz
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引用次数: 0
25 Years Ago [25 Years Ago] 25年前[25年前]
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-04-01 DOI: 10.1109/mcs.2017.2719005
In this issue, "25 Years Ago" revisits the article "Dynamic Scheduling of Modern-Robust-Control Autopilot Designs for Missiles" by Robert T. Reichert in IEEE Control Systems Magazine, vol. 12, no. 5, pp. 35-42, 1992. Below is an excerpt f rom the article.
在这一期,“25年前”重温了Robert T. Reichert在IEEE控制系统杂志第12卷第12期发表的文章“现代鲁棒控制自动驾驶仪设计的动态调度”。5,第35-42页,1992。以下是文章的节选。
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引用次数: 0
IEEE Feedback IEEE反馈
3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-04-01 DOI: 10.1109/mcs.2023.3248368
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引用次数: 0
Principled Internal Models [From the Editor] 原则性内部模型[摘自编辑]
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-04-01 DOI: 10.1109/mcs.2023.3234342
R. Sepulchre
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引用次数: 0
Sophie Tarbouriech [People in Control] Sophie Tarbouriech[掌控者]
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-04-01 DOI: 10.1109/mcs.2023.3234352
S. Tarbouriech
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引用次数: 0
Information Theoretic Signal Processing and Its Applications [Bookshelf] 信息论信号处理及其应用[书架]
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-04-01 DOI: 10.1109/MCS.2023.3234387
Alexander Haimovich
The roots of information theory are almost 100 years old and include early works by Fisher [1], Hartley [2], and others. According to a history of information theory [3], motivated to understand how to draw information from experiments, Fisher [1] stated “the nature and degree of the uncertainty [must] be capable of rigorous expression.” Subsequently, he defined statistical information as the reciprocal of the variance of a statistical sample. However, it was Shannon’s work [4] that laid the mathematical foundations of information theory and revolutionized communications. Shannon developed two fundamental bounds, one on data compression and the other on transmission rate. He proved that even in the presence of noise, an arbitrarily small probability of error may be achieved as long as the transmission rate is below a quantity he defined as channel capacity.
信息论的根源几乎有100年的历史,包括Fisher [1], Hartley[1]和其他人的早期作品。根据信息论的历史[3],出于理解如何从实验中提取信息的动机,费雪[3]说“不确定性的性质和程度[必须]能够得到严格的表达。”随后,他将统计信息定义为统计样本方差的倒数。然而,正是香农的工作奠定了信息论的数学基础,并彻底改变了通信。香农提出了两个基本界限,一个是关于数据压缩的,另一个是关于传输速率的。他证明,即使在噪声存在的情况下,只要传输速率低于他所定义的信道容量,就可以实现任意小的误差概率。
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引用次数: 3
The Prandtl–Ishlinskii Hysteresis Model: Fundamentals of the Model and Its Inverse Compensator [Lecture Notes] Prandtl–Ishlinskii磁滞模型:模型及其逆补偿器的基础[讲义]
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-04-01 DOI: 10.1109/MCS.2023.3234381
M. Al Janaideh, Mohammad Al Saaideh, Xiaobo Tan
Hysteresis is a nonlinear phenomenon arising in diverse fields such as mechanics, biology, electronics, and economics [1] (see “Summary”). In particular, hysteresis is ubiquitously exhibited by various smart materials, such as piezoelectrics, magnetostrictives, and shape memory alloys [2], [3]. These materials show inherent coupling between mechanical properties and electrical/magnetic/thermal fields; therefore, they can be used as sensors and actuators. For different smart material applications, hysteresis is a main source of nonlinearity, which creates challenges in the control of these systems.
磁滞是一种非线性现象,出现在力学、生物学、电子学和经济学等不同领域[1](见“综述”)。特别是,各种智能材料普遍表现出磁滞现象,如压电材料、磁致伸缩材料和形状记忆合金[2]、[3]。这些材料显示出机械性能与电场/磁场/热场之间的固有耦合;因此,它们可以用作传感器和致动器。对于不同的智能材料应用,磁滞是非线性的主要来源,这给这些系统的控制带来了挑战。
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引用次数: 1
IEEE Control Systems Society Technical Committee on Smart Grid [Technical Activities] IEEE控制系统学会智能电网技术委员会〔技术活动〕
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-04-01 DOI: 10.1109/mcs.2023.3234349
I. Hiskens
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引用次数: 0
[Conference Calendar] (会议日程)
3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-04-01 DOI: 10.1109/mcs.2023.3234395
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引用次数: 0
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IEEE Control Systems Magazine
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