Control Systems with Dynamic Structure Selection, Fuzzy Logic, and Neural Network Models by E. In. Lubentsova is a fascinating and in-depth study in the field of modern control technologies. This work will be especially interesting to those who seek to understand how modern methods and algorithms can be applied to solve complex problems in various fields, from industry to finance. The main theme of the book is to explore control systems that are able to adapt to changing conditions and requirements. The author examines the dynamic choice of the control structure, which allows the systems to be more flexible and efficient. The fuzzy logic and neural network models in question are becoming tools to cope with the uncertainty and complexity of real-world processes. Lubentsov not only describes the theory, but also offers practical examples, which makes the material accessible and understandable to a wide audience. This book will be interesting not only for students and graduate students of technical specialties, but also for practicing engineers, researchers and everyone who works in the field of automation and management. It is suitable for those who want to deepen their knowledge in the field of system analysis, control theory and artificial intelligence. Readers interested in new technologies and their application in real life will find many useful ideas and concepts in the book. Lubentsov in his work raises important topics, such as the adaptability of systems, management in conditions of uncertainty and the use of neural network approaches to optimize processes. These issues are especially relevant in light of the rapid development of technology and the need for effective resource management. The book makes you think about how you can use modern science to improve the efficiency and sustainability of systems in various fields. The author's style is distinguished by clarity and logical presentation, which makes it easy to perceive even the most complex concepts. Lubentsov skillfully combines theory with practical examples, which makes his work not only scientific, but also practically useful. Readers familiar with his other works will appreciate his ability to explain complex ideas in simple and accessible language. If you are looking for books on control, automation, neural network technology or fuzzy logic, then “Control systems with dynamic structure selection, fuzzy logic and neural network models” will be a great addition to your library. It will not only expand your knowledge, but also inspire new ideas and solutions in your professional activities. In conclusion, book E. In. Lubentsova is not just a tutorial, but a real find for anyone who wants to keep up with modern trends in management and technology. It offers a fresh perspective on familiar things and opens up new horizons for research and implementation of innovative solutions. Do not miss the opportunity to get acquainted with this fascinating work, which can become your reliable guide in the world of complex systems and technologies.