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Blending AI and fuzzy logic in control design
Engineers are increasingly merging AI techniques with fuzzy logic to create adaptive, explainable, and reliable control systems. From robotics to renewable energy, hybrid architectures combine ...
The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been ...
Stop Losing Money to Process Variability with These Proven Multi-Variable Process Control Strategies
Advanced MPC systems help food manufacturers optimize complex processes, reduce waste and maintain consistent product quality ...
Researchers in the Middle East have developed a fuzzy logic controller that simultaneously optimizes the tilt angle of PV systems and performs maximum power point tracking (MPPT). Year-long ...
A fuzzy tracking system performs as a narrow bandwidth tracking system in terms of noise reduction, and a wide bandwidth tracking system in terms of dynamic response, overcoming the contradiction ...
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