Update of Feedforward Compensation with Experimental Data based on Kernel Regularized Identification
Update of Feedforward Compensation with Experimental Data based on Kernel Regularized Identification is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include parametric statistics, compensation, kernel, Structural health monitoring, computer science, identification, control engineering, system identification, irrigation controller, control in organization management, fault detection and isolation, feed-forward control, and control theory. The paper is concerned with data-driven controller redesign, and proposes an approach to update the feedforward compensation in two degree-of-freedom control systems based on one shot experimental I/O data.