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3 Optimal Coding 3优化编码
Pub Date : 2018-10-03 DOI: 10.1201/B10384-158
W. Levine
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引用次数: 0
Appendix: Convex Sets and Convex Functions 附录:凸集和凸函数
Pub Date : 2018-10-03 DOI: 10.1201/b10384-64
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引用次数: 0
3 Fractional Descriptions 3分数描述
Pub Date : 2018-10-03 DOI: 10.1201/b10384-53
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引用次数: 0
4 Multivariable Transmission Zeros 4多变量传输零
Pub Date : 2018-10-03 DOI: 10.1201/b10384-15
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引用次数: 0
Numerical and Computational Issues in Linear Control and System Theory 线性控制与系统理论中的数值与计算问题
Pub Date : 2018-10-03 DOI: 10.1201/b10384-3
A. Laub, R. Patel, P. Dooren
This chapter provides a survey of various aspects of the numerical solution of selected problems in linear systems, control, and estimation theory. Space limitations preclude an exhaustive survey and extensive list of references. The interested reader is referred to [14],[4],[1],[10] for sources of additional detailed information.
本章提供了线性系统,控制和估计理论中选定问题的数值解决的各个方面的调查。由于篇幅限制,无法进行详尽的调查和广泛的参考书目。感兴趣的读者可参考[14]、[4]、[1]、[10]了解更多详细信息的来源。
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引用次数: 0
4 Fuzzy Control for the Rotational Inverted Pendulum 4旋转倒立摆的模糊控制
Pub Date : 2018-10-03 DOI: 10.1201/b10384-123
W. Levine
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引用次数: 0
Riccati Equations and Their Solution 里卡第方程及其解
Pub Date : 2018-10-03 DOI: 10.1201/b10384-36
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引用次数: 0
The Structured Singular Value ( 结构奇异值(
Pub Date : 2018-10-03 DOI: 10.1201/b10384-50
Framework
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引用次数: 0
Intelligent Control 智能控制
Pub Date : 2018-10-03 DOI: 10.1201/b10384-120
J. T. Spooner, M. Maggiore, Raul Ord
It has been shown that a feedforward network with nonlinear, continuous and differentiable activation functions have universal approximation capability. Recurrent networks have also been used for system identification. Given, a set of input-output data pairs, system identification aims to form a mapping among these data pairs. Such a network is supposed to capture the dynamics of a system. 1.2 Bayesian controllers
证明了具有非线性连续可微激活函数的前馈网络具有普遍逼近能力。循环网络也被用于系统识别。给定一组输入输出数据对,系统识别的目的是在这些数据对之间形成映射。这样的网络应该能够捕捉到系统的动态。1.2贝叶斯控制器
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引用次数: 0
Linear Matrix Inequalities in Control 控制中的线性矩阵不等式
Pub Date : 2018-10-03 DOI: 10.1201/B10384-61
William S. Levine
Objective Linear matrix inequalities (LMIs) have proven to be a powerful tool to approach control problems that appear hard, if not impossible, to solve in an analytic fashion. The history of LMIs goes back to the forties and their role in control became emphasized in the sixties (Kalman, Yakubovich, Popov, Willems). Contemporary numerical interior-point methods and semi-definite programming techniques are increasingly powerful and allow solving LMIs in a practically efficient manner (Nesterov, Nemirovskii 1994). Several Matlab software packages are available that allow a simple coding of general LMI problems that arise in typical control problems.
目的:线性矩阵不等式(lmi)已被证明是一种强大的工具,可以解决难以用分析方式解决的控制问题。lmi的历史可以追溯到40年代,它们在控制中的作用在60年代得到强调(卡尔曼,雅库博维奇,波波夫,威廉姆斯)。当代数值内点方法和半确定规划技术越来越强大,并允许以实际有效的方式求解lmi (Nesterov, Nemirovskii 1994)。有几个Matlab软件包允许对典型控制问题中出现的一般LMI问题进行简单编码。
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引用次数: 404
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The Control Systems Handbook
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