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Development of data-based controller synthesis by convex optimization

机译:通过凸优化开发基于数据的控制器综合

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Recently, many researches extracting an essence from a huge number of data receive much attention in the various field of engineering. In the field of control engineering, the controller syntheses from time-domain and/or frequency domain data are energetically studied based on numerical optimization techniques. This paper presents a recent development of data-based controller synthesis by convex optimization, and shows that a special case of nonconvex optimization problems, which is often encountered in the control field, is reformulated as a convex optimization problem by introducing the concave-convex procedure or the Iterated LMI constraints. As an application, the H infinity loop shaping design procedure reformulated using frequency response data of a controlled plant is presented.
机译:近年来,许多从大量数据中提取精华的研究在各个工程领域受到了广泛关注。在控制工程领域中,基于数值优化技术,大力研究时域和/或频域数据的控制器合成。本文介绍了基于凸优化的基于数据的控制器综合的最新进展,并表明通过引入凹凸过程将控制领域中经常遇到的非凸优化问题的特殊情况重新构造为凸优化问题。或迭代LMI约束。作为一种应用,提出了使用受控工厂的频率响应数据重新构造的H无限循环成形设计程序。

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