This book continues the work of V. G. Gorsky and Yu. P. Adler titled "Planning Industrial Experiments (Static Models)," which was published by Metallurgiya in 1974. It addresses the challenges of experimental planning using various methods for defining the model of a dynamic object. In particular, it discusses trend-type models presented as integrals (or sums) of convolution, transfer functions, and finite difference and differential equations. The book includes examples for the main models, complete with numerical calculations. Targeted at specialists in the automation of production processes (including Automated Control Systems), as well as those engaged in the theory and applications of experimental planning methods, this book is also valuable for professionals in the automation of scientific research. It will be beneficial for students and graduate students in related fields. The book features 15 illustrations and includes a bibliography with 174 titles.