2019 年 139 巻 4 号 p. 272-275
Recently, many researches extracting an essense from a huge number of data receive much attention in the various field of engineering. In the field of control engineering, the controller sysntheses 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 encounterd 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∞ loop shaping design procedure reformulated using frequency response data of a controlled plant is presented.
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