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Anthony Thompson [Ph.D.s In Control] Anthony Thompson[控制学博士]
IF 5.7 3区 计算机科学 Q2 Mathematics Pub Date : 2023-08-01 DOI: 10.1109/mcs.2023.3273798
A. Thompson
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引用次数: 0
A Call for Interest to Organize Future CDC and CCTA Conferences [CSS News] 呼吁有兴趣组织未来的疾病预防控制中心和CCTA会议[CSS新闻]
IF 5.7 3区 计算机科学 Q2 Mathematics Pub Date : 2023-08-01 DOI: 10.1109/mcs.2023.3273495
Carolyn Beck, A. Giua
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引用次数: 0
Controls in the Age of AI? [President’s Message] AI时代的控制?(总统的消息)
IF 5.7 3区 计算机科学 Q2 Mathematics Pub Date : 2023-08-01 DOI: 10.1109/mcs.2023.3273494
M. Egerstedt
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引用次数: 0
IEEE Feedback IEEE反馈
3区 计算机科学 Q2 Mathematics Pub Date : 2023-08-01 DOI: 10.1109/mcs.2023.3286511
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引用次数: 0
Microscale 2D Particle Position Control: The Individual and Group Cases 微尺度二维粒子位置控制:个体与群体案例
IF 5.7 3区 计算机科学 Q2 Mathematics Pub Date : 2023-08-01 DOI: 10.1109/MCS.2023.3273748
Ion Matei, Maksym Zhenirovskyy, J. de Kleer, A. Plochowietz
Our goal is to design and build a printer-like system for assembling microparticles into engineered patterns. The assembly into desired patterns is based on feedback control that tracks the particles and makes corrections to the particle positions until the desired pattern is achieved (see “Summary” and “Xerography for Microelectronics” for more details on xerography and assembly for microelectronics). Micro- and nanoscale particle manipulation have received a lot of research interest due to their significant applications in microfabrication, biology, and medicine. Recent work [1], [2] demonstrated a microchiplet control policy based on a one-step model predictive control approach. The 1D model used a capacitance-based model. However, the actuation mechanism was based on spiral-shaped electrodes that limited the number of simultaneously actuated electrodes. The electrodes were connected through wires to a digital-to-analog converter power source that set the electrodes’ electric potentials. The spiral-based experimental setup allows for radial chiplet motion only and does not scale to a large number of electrodes (for example, in the thousands) due to wiring challenges [3]. Colloids are at the core of many microassembly technologies. They are solution-processed assemblies of nano- to micrometer-sized particles, whose collective properties are controlled by both particle properties and the superstructure symmetry, orientation, phase, and dimension [4] (see “Colloids” for more details on colloids). A control scheme for individual and ensemble control of colloids is described in [5]. In particular, it is shown how inhomogeneous electric fields are used to manipulate individual and ensembles of colloidal particles (1 to 3 μm in diameter) in water and sodium hydroxide solutions through electrophoresis (EP) and electro-osmosis. The authors use various electrode-to-particle-size ratios, various media in which the particles are immersed, and different mathematical models. The authors of [6] demonstrated location-selective particle deposition, where EP forces are the primary drive for particle (2-μm polystyrene beads) manipulation. The control scheme was based on building large energy wells close to the desired location of the nanoparticles. Several works [7], [8] describing the control of a stochastic colloidal assembly process that drives the system to the desired high-crystallinity state are based on a Markov decision process optimal control policy. The dynamical model is based on actuator-parametrized Langevin equations. In this work, individual particles are not directly manipulated. Hence, it is unclea
我们的目标是设计和建造一个类似打印机的系统,用于将微粒组装成工程图案。组装成所需的模式是基于反馈控制,跟踪粒子和修正粒子的位置,直到所需的模式被实现(见“摘要”和“静电复印微电子”的更多细节静电复印和组装微电子)。微纳米尺度的粒子操纵由于其在微加工、生物学和医学方面的重要应用而引起了人们的广泛关注。最近的工作[1],[2]展示了一种基于一步模型预测控制方法的微芯片控制策略。一维模型采用基于电容的模型。然而,驱动机构是基于螺旋形电极,限制了同时驱动电极的数量。电极通过电线连接到一个数模转换器电源,该电源设置电极的电位。基于螺旋的实验装置只允许径向芯片运动,由于布线挑战,不能扩展到大量电极(例如,数千个)。胶体是许多微组装技术的核心。它们是纳米到微米大小的粒子的溶液处理组合,其集体性质由粒子性质和上层结构的对称性、取向、相和尺寸[4]控制(参见“胶体”了解更多关于胶体的细节)。在[5]中描述了一种单独和整体控制胶体的控制方案。特别是,通过电泳(EP)和电渗透,展示了如何使用非均匀电场来操纵水和氢氧化钠溶液中的单个和整体胶体颗粒(直径1至3 μm)。作者使用了不同的电极与颗粒的尺寸比、不同的颗粒浸入介质和不同的数学模型。[6]的作者展示了位置选择性颗粒沉积,其中EP力是颗粒(2 μm聚苯乙烯珠)操纵的主要驱动力。该控制方案是基于在纳米颗粒的理想位置附近建立大型能量井。一些作品[7],[8]描述了随机胶体组装过程的控制,使系统达到所需的高结晶度状态,这些作品基于马尔可夫决策过程最优控制策略。动力学模型基于作动器参数化朗格万方程。在这项工作中,单个粒子不被直接操纵。因此,在组装非周期模式(如电路和异质系统)时如何使用这种方法尚不清楚。此外,颗粒尺寸(直径≈3 μm)非常小,对电场的干扰很小,电场完全由驱动电位形成。此外,实现所需状态的长时间尺度将使高吞吐量的目标难以实现。其他自组装控制方法[9],[10],[11]需要进行重大修改才能与我们的实验系统一起使用。电渗透解决方案是颗粒控制[12],[13]的流行选择。在这种情况下,EP力和电渗透流的流体运动都被用来驱动粒子。采用与[1]和[2]相似的电极结构,研究了介质电泳(DEP)对癌细胞[14]的影响。与我们的设置不同,假设粒子足够小,电场不会被它们的存在所干扰。基于电渗透的细胞、量子点和纳米线的精确控制被用于[15]和[16]。作者使用电极电位的线性模型,粒子对电场分布的影响可以忽略不计。在这里的工作中,由于驱动力主要是DEP,电极电位的线性不成立。此外,电场受到晶片位置的影响。在[17]中,作者描述了一种基于dep的微球操纵反馈控制方案。采用微电极阵列结合基于实时数值优化的闭环串级控制策略对电压相移进行控制。为了比较,我们正式推导出一种控制策略,我们提出的经验结果也可能是最优的。更重要的是,我们的策略很容易实时实现,因为它不需要解决优化问题。本文描述了一种二维控制策略,其中使用静电致动器阵列完成致动。基于光电晶体管的阵列是光学寻址的,能够动态控制静电能势和操纵小物体的位置。该方法足以应用于纳米(μm)和微物体(数百微米)。 该系统使用介电流体(例如Isopar M),支持EP和DEP力。我们为单个粒子控制和粒子群控制设计策略。在这两种情况下,我们都使用基于优化的方法来进行策略设计。区别来自于动态约束的类型。在单个粒子控制情况下,我们使用粒子运动的动力学模型作为约束。在控制粒子群的情况下,动力学约束由以粒子密度表示的输运方程给出。这种类型的公式是更广泛的最优控制问题的一部分,其中的动态约束是Liouville偏微分方程(PDE)。本文讨论了Liouville方程的可控性,以及在某些特殊情况下(如线性情况下)Liouville方程矩的最优控制。在[19]中发现了由Liouville方程控制的最优控制问题的分析,其中的结果适用于特定类别的问题(例如,具有线性和双线性控制机制的无界漂移函数的Liouville方程)和成本泛函类别。在[20]中,作者引入了一种动态输出反馈的Liouville方程控制,并将其应用于单输入、单输出的离散线性系统。我们的公式不适合前面列举的任何问题设置。本文中讨论的问题可以在更大的背景下设置最优质量传输(OMT)理论,该理论解决了质量从源分布到目标分布的传输,用最小的努力。在[21]和[22]中可以找到omt相关问题和解决此类问题的最新算法的综述。OMT问题的一个特殊表述是密度控制问题,其中以速度场表示的成本函数被最小化,而密度则受到输运方程和边界条件的约束。我们的问题可以放在这样的背景下,把粒子看作需要运输的质量的离散化。与解决密度控制问题的解决方案相比,我们的公式中的一个根本区别是,速度场非线性地依赖于控制变量,即形成电场的电极电位。当在最优控制公式中使用电势作为优化变量时,最优控制的解析解变得模糊,导致需要采用数值方法。
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引用次数: 0
Samer S. Saab [People in Control] Samer S.Saab
IF 5.7 3区 计算机科学 Q2 Mathematics Pub Date : 2023-08-01 DOI: 10.1109/mcs.2023.3273548
S. Saab
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引用次数: 0
61st IEEE Conference on Decision and Control [Conference Reports] 第61届IEEE决策与控制会议[会议报告]
IF 5.7 3区 计算机科学 Q2 Mathematics Pub Date : 2023-08-01 DOI: 10.1109/mcs.2023.3273829
M. E. Valcher, A. Serrani, C. Prieur
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引用次数: 0
CSS Quarter-Century Members [Member Activities] CSS四分之一世纪会员[会员活动]
IF 5.7 3区 计算机科学 Q2 Mathematics Pub Date : 2023-08-01 DOI: 10.1109/mcs.2023.3273497
K. Pettersen
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引用次数: 0
[Ph.D.s In Control] [控制博士]
IF 5.7 3区 计算机科学 Q2 Mathematics Pub Date : 2023-08-01 DOI: 10.1109/mcs.2023.3273789
R. Sepulchre
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引用次数: 0
Practical Methods for Optimal Control Using Nonlinear Programming, Third Edition [Bookshelf] 应用非线性规划的最优控制实用方法,第3版[书架]
IF 5.7 3区 计算机科学 Q2 Mathematics Pub Date : 2023-08-01 DOI: 10.1109/MCS.2023.3273823
John T. Betts, A.V.Nageswara varaha Rao
The review of this book is centered on the sheer quality and profoundness with which the author guides a reader through all aspects of solving a general optimal control problem numerically. The basis of the methodology is nonlinear programming, and when traversing the book, the author makes it abundantly clear that optimal control is inextricably bound to nonlinear programming. In fact, the connection the author makes between nonlinear programming and optimal control is so strong that it makes it wholly evident that optimal control problems cannot be solved numerically unless sophisticated techniques for discretizing differential equations (the optimal control side of things) are developed along with equally sophisticated approaches for solving large, sparse, nonlinear programming problems. The book is divided into ten main chapters. It starts off with an introduction to nonlinear programming and then describes large sparse nonlinear programming. From that point, it provides an overview of optimal control. Once that has been accomplished, methods that combine optimal control with nonlinear programming are described, and the main approach of direct collocation is developed in detail. After developing direct collocation methods, the remainder of the book focuses on a large number of amazing examples and ends with a chapter that contains numerous test problems.
这本书的评论集中在作者指导读者通过数字解决一般最优控制问题的各个方面的纯粹质量和深度上。该方法论的基础是非线性规划,在翻阅这本书时,作者非常清楚地表明,最优控制与非线性规划密不可分。事实上,作者在非线性规划和最优控制之间建立的联系是如此紧密,以至于很明显,除非开发出复杂的离散微分方程技术(事物的最优控制方面),以及同样复杂的方法来解决大的、稀疏的、,非线性规划问题。这本书分为十个主要章节。它首先介绍了非线性规划,然后描述了大型稀疏非线性规划。从这一点出发,它提供了最优控制的概述。一旦实现了这一点,就描述了将最优控制与非线性规划相结合的方法,并详细开发了直接配置的主要方法。在开发了直接搭配方法之后,本书的其余部分集中在大量令人惊叹的例子上,并以包含大量测试问题的章节结束。
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IEEE Control Systems Magazine
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