Alexander Fridman, PhD – Professor, Computer Science, Institute for Informatics and Mathematical Modeling, The Russian Academy of Sciences, Russia
Series: Advances in Applied Science and Engineering; Computer Science, Technology and Applications
BISAC: BUS070030; COM039000; COM051240
“The reviewed book, Situational Modeling: Definitions, Awareness, Simulation, contains a thorough description of an original method of situational modeling (MSM) of industrial-natural complexes (INCs), developed by the author in the course of many years of research into the problems of analyzing and predicting the state of systems of this class within the framework of the “classical” deterministic approach to simulation modeling, which allows, unlike all other known methods, to carry out preventive analytics of the degree of danger of cascading failures in the process of development of an INC. According to current modeling trends, the MSM is based on a declarative INC model that is open to modification as new information about the INC is obtained, with the possibility of using the spatial characteristics of the INC and expert knowledge about it. Scenario methods for analyzing and synthesizing situations that arise during the operation of the INC are proposed by using situational digital twins of the components of the simulating object, with the possibility of taking into account the safety aspects and situational awareness of decision makers involved in the functioning of the INC. The obtained theoretical results have been tested at international conferences, reflected in rating publications and confirmed by the MCM applications to various practical problems of studying INCs. The book creates a fundamental basis for the development of flexible systems for situational modeling of INCs, in particular, in projects such as “Smart City”. – Victor Mikhailovich Grinyak, Doctor of Technical Sciences, Professor, Vladivostok State University, Department of Information Technologies and Systems
“The originality of the situational modeling technology described in the monograph is that: original rigorous definitions of the basic concepts of situational control have been developed, which provide the basis for the correct structuring and adequate application of heterogeneous available information about the properties of the CSRSs; significant attention is paid to formal methods for controlling the correctness of the CPRS model, which allows it to be quickly modified and complicated as new knowledge about the modeling object appears; and the geoinformation and expert subsystems are built into the modeling system, which provide effective accounting and calculating the spatial characteristics of the CSRS under study, as well as the intellectualization of methods of modeling at all its stages. In general, the monograph by Alexander Ya. Fridman offers CSRS developers a useful and flexible tool for solving various problems of designing and monitoring systems of this class in today’s rapidly changing world.” – Andrey Emelianovich Gorodetskiy, Doctor of Science (Engineering Sciences), Professor of the St. Petersburg Peter the Great Polytechnic University, member of the Russian Metrological Academy and Russian Academy of Natural Sciences, Head of the Laboratory of Smart Electro Mechanical Systems at the Institute of Problems of Mechanical Engineering of the Russian Academy of Sciences
The book presents a new information technology for modeling complex spatially distributed systems (CSDS), developed within the paradigm of situational control by D.A. Pospelov. This technology allows solving various problems of investigating cause-and-effect models of such systems, but its uniqueness lies in focusing on identifying situations in which cascading failures can occur, which lead, as is known from the experience of accidents such as the power outage in the U.S.A and Canada on 14th August 2003 (Northeast blackout of 2003), to the most significant economic losses.
The timeliness of such an approach to modeling is determined by the following factors:
– complication of the structure and interactions of CSRSs;
– increasing the power-to-weight ratio of such systems;
– growth of the speed of modern computing systems, which allows to perform more complex calculations;
– rapid development of computer networks, the Internet of Things and the ideas of digital twins, increasing the degree of information support for modeling.
This book introduces a methodology of situational modeling and control for discrete spatial dynamic systems based on thorough implementation of situational control by D. A. Pospelov and the theory of hierarchical systems by M.D. Mesarovic. This methodology provides flexible intelligent analysis and structural synthesis of such systems, including searches for “bottlenecks” in their structure that can cause the most harmful losses in emergencies.