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Description
This book represents a comprehensive exploration of the most recent advancements and applications at the intersection of machine learning, cyber-physical systems, and industrial processes. This book is divided into four primary sections, each focusing on distinct yet interconnected themes. The first section, ML-Based Industrial Solutions, highlights the transformative role of machine learning in industrial settings. Topics include the optimization of neural network architectures for atypical load forecasting in power grid cyber-physical systems, the use of vector autoregressive models for analyzing and forecasting consumption indicators, soft sensor-based fault detection and diagnosis in mass transfer processes, and the implementation of ML-based digital twins for predictive diagnostics in thermal power plants. Next, the book turns its attention to cyber-space for equipment reliability. Here, readers will find discussions on software tools for reliability analysis and efficiency assessment of technological equipment, methods for evaluating energy consumption, reliability estimations for automated lines with inter-operational storage devices, and the application of ANFIS network-based fuzzy expert systems for diagnosing power equipment defects. Additionally, this section includes considerations regarding the structure of knowledge models for solving control tasks in plants with parametric uncertainty. The third section, Unmanned Robotics, dives into the exciting world of autonomous systems. It covers topics such as modeling the optimal trajectory of reusable spacecraft entering the Earth's atmosphere, developing new methods for small unmanned helicopter emergency landings in case of onboard equipment failures, robust trajectory tracking control of nonholonomic wheeled mobile robots with external disturbances, and assessing the efficiency of passenger transportation in cyber-transport systems based on unmanned electric cars. Finally, the book concludes with a thorough examination of cybersecurity. The book is an essential resource for researchers, engineers, and professionals engaged in industrial automation, cyber-physical systems, and related disciplines.
Neural network architecture optimization for atypical load forecasting in power grid cyber physical system.- Vector autoregressive models for analysis and forecasting of consumption indicators.- Soft sensor based mass transfer process fault detection and diagnosis.- ML based digital twins of thermal power plants heat exchange equipment for predictive diagnostic systems.- The AI based method for defining the similarity of cyber physical systems.- Health index estimation for distributed cyber-physical systems.- Software for reliability analysis and efficiency assessing of technological equipment functioning.- Software Methods for Energy Consumption Evaluation.- Reliability Estimation for an Automated Line with an Inter Operational Storage Device.- ANFIS network based fuzzy expert system model for power equipment defects diagnosis.- Towards definition of the knowledge model structure on methods for solving tasks of control plants with parametric uncertainty.- Modeling the optimal trajectory of a reusable spacecraft entering the Earth's atmosphere.- New method for small unmanned helicopter emergency landing in case of onboard equipment failures.- Robust trajectory tracking control of nonholonomic wheeled mobile robots with external disturbances.- Assessment of the efficiency of passenger transportation in the cyber transport system based on unmanned electric cars.- Information granulation for tasks of assessing malicious activity in the smart city infrastructure.- Development and application of an active cyber attack simulator.- Obfuscation in decentralized public systems.- Computerized information security risk management system APCS based on genetic algorithms.- Digital Image Manipulation Detection as a Task of Image Provenance Verification.- On Acceleration of Logarithms Computing in the Chor Rivest Cryptosystem.- Hybrid Multiple Key Spaces Schemes Using Unitals.
