Dynamic Modeling and Simulation for Control Systems, 3rd Edition

Dear Colleagues,

This Special Issue titled “Dynamic Modeling and Simulation for Control Systems, Third Edition”, as a follow-up to the successful first edition and second edition, will provide a comprehensive platform for researchers and practitioners to explore topics related to the dynamic modeling, simulation, and optimization of control systems in various engineering fields. Specifically, this Special Issue aims to cover important aspects of how to optimize the dynamic behavior of physical systems using special algorithms and artificial intelligence in the modeling, simulation, and optimization of the components and systems across diverse engineering disciplines, such as astronautics, aerospace, avionics, robotics, manufacturing systems, mechanical engineering, power energy, materials technology, and neurorehabilitation.

Topics for this Special Issue:

• Mathematical modeling of control systems;
• Control of physical engineering systems;
• Optimization algorithms in engineering systems;
• Design of physical engineering systems;
• Mechanical, electrical, and fluid interaction between system components;
• Dynamic behavior analysis;
• System response analysis;
• Feedback control systems;
• Numerical simulation of integrated systems;
• Fault detection and diagnosis;
• Networked control and time-delay systems;
• Frequency response and stability;
• Control and simulation of the isotope separation process;
• Fuzzy logic and control systems;
• Neural network applied in complex control systems;
• Artificial intelligence and support vector machine for control systems.

This Special Issue of Mathematics will be a useful guide on techniques for the modeling, simulation, and optimization of control systems to obtain acceptable dynamic behaviors.

Prof. Dr. Adrian Olaru
Prof. Dr. Gabriel Frumusanu
Prof. Dr. Catalin Alexandru
Guest Editors

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