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Stochastic Differential Equations 随机微分方程
Pub Date : 2018-10-03 DOI: 10.1090/MEMO/0004
Kiyosi Itô
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引用次数: 268
Controllability of Thin Elastic Beams and Plates 薄弹性梁和板的可控性
Pub Date : 2018-10-03 DOI: 10.1201/b10384-80
J. Lagnese, G. Leugering
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引用次数: 3
4 Bifurcations and Chaos in Physical Systems 物理系统中的分岔与混沌
Pub Date : 2018-10-03 DOI: 10.1201/B10384-115
W. Levine
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引用次数: 0
4 Stochastic Differential Equations and Itô’s Rule 4随机微分方程与Itô规则
Pub Date : 2018-10-03 DOI: 10.1201/B10384-130
W. Levine
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引用次数: 0
4 Other Parabolic Plants 4其他抛物线植物
Pub Date : 2018-10-03 DOI: 10.1201/b10384-150
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引用次数: 0
4 Some Control-Theoretic Examples 4一些控制理论的例子
Pub Date : 2018-10-03 DOI: 10.1201/b10384-147
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引用次数: 0
2 Introduction to Fuzzy Control 2模糊控制概述
Pub Date : 2018-10-03 DOI: 10.1201/b10384-122
W. Levine
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引用次数: 1
Control of Systems Governed by Partial Differential Equations 偏微分方程控制系统的控制
Pub Date : 2018-10-03 DOI: 10.1201/b10384-79
K. Morris
In many applications, such as diffusion and structural vibrations, the physical quantity of interest depends on both position and time. Some examples are shown in Figures 1-3. These systems are modelled by partial differential equations (PDE’s) and the solution evolves on an infinite-dimensional Hilbert space. For this reason, these systems are often called infinite-dimensional systems. In contrast, the state of a system modelled by an ordinary differential equation evolves on a finite-dimensional system, such as R, and these systems are called finite-dimensional. Since the solution of the PDE reflects the distribution in space of a physical quantity such as the temperature of a rod or the deflection of a beam, these systems are often also called distributedparameter systems (DPS). Systems modelled by delay differential equations also have a solution that evolves on an infinite-dimensional space. Thus, although the physical situations are quite different, the theory and controller design approach is quite similar to that of systems modelled by partial differential equations. However, delay differential equations will not be discussed directly in this article. The purpose of controller design for infinite-dimensional systems is similar to that for finite-dimensional systems. Every controlled system must of course be stable. Beyond that, the goals are to improve the response in some well-defined manner, such as by solving a linear-quadratic optimal con-
在许多应用中,例如扩散和结构振动,感兴趣的物理量取决于位置和时间。部分示例如图1-3所示。这些系统由偏微分方程(PDE)建模,其解在无限维希尔伯特空间上演化。由于这个原因,这些系统通常被称为无限维系统。相反,由常微分方程建模的系统的状态在有限维系统(如R)上演化,这些系统被称为有限维系统。由于PDE的解反映了诸如杆的温度或梁的挠度等物理量在空间中的分布,因此这些系统通常也称为分布参数系统(DPS)。由时滞微分方程建模的系统也具有在无限维空间上演化的解。因此,尽管物理情况大不相同,但理论和控制器设计方法与由偏微分方程建模的系统非常相似。但是,本文将不直接讨论延迟微分方程。无限维系统的控制器设计目的与有限维系统的控制器设计目的相似。每个被控制的系统当然必须是稳定的。除此之外,目标是以某种定义良好的方式改善响应,例如通过求解线性二次最优算法
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引用次数: 49
3 Discrete-Time Linear Time-Varying Systems 3离散线性时变系统
Pub Date : 2018-10-03 DOI: 10.1201/B10384-17
W. Levine
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引用次数: 1
Stochastic Adaptive Control for Continuous-Time Linear Systems 连续线性系统的随机自适应控制
Pub Date : 2018-10-03 DOI: 10.1201/b10384-139
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引用次数: 0
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The Control Systems Handbook
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