Parallel Model Predictive Control with feedback compensation
Parallel Model Predictive Control with feedback compensation
复制标题
带反馈补偿的并行模型预测控制
DOI：
10.1109/cca.2012.6402507
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
M. Yamakita
中科院分区：
文献类型：
--
作者：
T. Sumioka;M. Yamakita
在本文中，我们探讨效用的并行处理在控制系统的设计。控制工程是随着计算机系统的发展而发展起来的。近年来，通过使用并行处理来提高计算速度，并且我们需要利用并行处理的控制方法。对于并行处理，我们提出了一种模型预测控制（MPC）的反馈补偿方法，以及一种使用无迹变换的随机系统控制方法。为了证实这些方法的有效性，数值模拟证明。仿真结果表明，该方法比传统方法具有更快的速度。当系统受到测量噪声干扰时，其均方误差小于采用随机控制的常规方法。
In this paper, we investigate utility of parallel processing in control system design. Control engineering has been developed according to development of computer systems. In recent years, computational speed has been increased by using parallel processing, and we need control method that takes advantage of the parallel processing. For parallel processing, we propose a feedback compensation method for Model Predictive Control (MPC), and a control method using unscented transformation for stochastic systems. To confirm the effectiveness of these proposed methods, numerical simulations are demonstrated. Simulation results show that the proposed method is faster than the conventional method. It is also shown that mean square error is smaller than the conventional method using the stochastic control when the system is disturbed by measurement noises.
通过奇异值分解的非线性后退控制以及奇异向量和奇异值的误差校正方法
DOI：
--
发表时间：
2009
期刊：
影响因子：
--
作者：
S.Matoba;H.Nakamura;H.Nishitani.
通讯作者：
H.Nishitani.