Active identification of stochastic dynamical systems . Experiment planning for models of continuous-discrete systems" written by B. M. Chubich and E. In. Filippova is a deep and fascinating immersion into the world of theory and practice of identifying dynamical systems. This publication will become an indispensable assistant for students, graduate students, researchers and practitioners in the field of automation, system analysis and management. In the book, the authors offer the reader a unique approach to the study of stochastic dynamical systems, focusing on active identification and planning of experiments. This is especially true in the modern world, where complex systems require accurate and reliable control. Chubich and Filippova examine models of continuous-discrete systems, which allows the reader to understand how different approaches to identification can be applied in real-world conditions. One of the key themes of the book is the use of an active approach to identification, which involves not only observing the system, but also actively interfering with the process to obtain more accurate data. This opens up new horizons for researchers working in the field of control theory and system dynamics. The authors share their knowledge and experience, offering the reader not only theoretical foundations, but also practical recommendations, which makes the book especially valuable. The book will be interesting to those who are fond of mathematical modeling, probability theory and statistics. It is suitable for both technical students and experienced professionals seeking to deepen their knowledge in the field of system identification. Readers interested in topics such as dynamic systems management, process optimization, and modeling will find many useful ideas and solutions in this book. The style of the authors is distinguished by clarity and accessibility, which allows even complex concepts to be presented in an understandable form. In. M. Chubich and E. In. Filippova is known for her scientific work and publications in the field of automation and management, and in this book they continue to develop their ideas, offering readers a fresh look at familiar problems. The topics raised in the book are relevant not only to the scientific community, but also to industry, where the management of dynamic systems is of critical importance. Readers will be able to learn about methods of planning experiments that will help optimize processes and improve the efficiency of systems. The book also addresses issues related to data processing and analysis of results, making it useful for anyone who works with large amounts of information. “Active identification of stochastic dynamical systems” is not just a textbook, but a whole world of knowledge that opens new horizons for understanding complex systems. By reading this book, you will not only gain a theoretical basis, but also learn to apply the knowledge gained in practice, which will certainly increase your qualifications and competitiveness in the labor market. If you are looking for literature that will help you understand the intricacies of identifying dynamic systems, and want to learn about modern methods and approaches, then this publication will be a real find for you. Do not miss the opportunity to immerse yourself in the world of active identification and discover new horizons in the field of system analysis and management.