
<abstract> <p>To synthesize the proper control signal while guaranteeing the necessary performance indices (speed, resilience, accuracy, etc.), mathematical models were frequently used to represent physical systems. These descriptions were utilized for control, monitoring, and detection in these kinds of systems. Quality and performance of the process may suffer if the model is inaccurate or incomplete. As a result, conformable systems (CS) may be used to make these mathematical models more near to the real world. However, non-power-electronics experts who need to model and simulate complex systems may find the task of modeling static converters to be rather challenging. Researchers have just recently outlined the properties of the general conformable systems (GCS). This innovative approach built upon the principle of the classical integer order systems, employing the same mathematical foundations for its derivation. With the introduction of this novel description of systems, a fresh array of differential equations emerged, specifically tailored for the realm of direct current to direct current (DC-DC) static converters. GCS has been proved to be more flexible and profitable than the traditional integer-order one for representing DC-DC static converters. This advancement paved the way for more effective control techniques based on the Lyapunov method, with practical applications in photovoltaic (PV) systems and beyond.</p> </abstract>
Artificial intelligence, Robust Stability, lyapunov technique, Control (management), Conformable matrix, DC motor, Quantum mechanics, Discrete-Time Control Systems, Engineering, QA1-939, FOS: Mathematics, Control theory (sociology), dc-dc static converters, Controller Tuning, Control system, Biology, Anomalous Diffusion Modeling and Analysis, Photovoltaic system, Analysis and Design of Fractional Order Control Systems, Lyapunov function, modelling and control, Electronic engineering, Control engineering, Physics, Controller (irrigation), Chaos Synchronization and Control in Complex Systems, Statistical and Nonlinear Physics, Complex Systems, Voltage, Converters, Computer science, Agronomy, Physics and Astronomy, Control and Systems Engineering, Modeling and Simulation, Electrical engineering, Physical Sciences, Nonlinear system, general conformable systems, Adaptive Synchronization, Mathematics
Artificial intelligence, Robust Stability, lyapunov technique, Control (management), Conformable matrix, DC motor, Quantum mechanics, Discrete-Time Control Systems, Engineering, QA1-939, FOS: Mathematics, Control theory (sociology), dc-dc static converters, Controller Tuning, Control system, Biology, Anomalous Diffusion Modeling and Analysis, Photovoltaic system, Analysis and Design of Fractional Order Control Systems, Lyapunov function, modelling and control, Electronic engineering, Control engineering, Physics, Controller (irrigation), Chaos Synchronization and Control in Complex Systems, Statistical and Nonlinear Physics, Complex Systems, Voltage, Converters, Computer science, Agronomy, Physics and Astronomy, Control and Systems Engineering, Modeling and Simulation, Electrical engineering, Physical Sciences, Nonlinear system, general conformable systems, Adaptive Synchronization, Mathematics
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