My degree is in control engineering. When I was at university (way back in the mists of time), the most sophisticated control techniques we had were bang-bang control, sequence control, and ...

Type-2 fuzzy logic systems have emerged as a powerful extension of traditional fuzzy logic, providing enhanced capability to model uncertainty and imprecision in complex systems. Unlike type-1 systems ...

Probably, we all agree that we should not see the world in black and white. One of our most important abilities as human beings, which separates us from machines, is the ability to see events as ...

In a previous article, we explored the Strong Artificial Intelligence Hypothesis, first presenting a low-level description based on the notion of a neural network (bottom-up framework). In this work, ...

(Nanowerk Spotlight) Logic gates, especially Boolean logic gates, are the fundamental building blocks of today's computers built with silicon-based circuitry; without them, digital information could ...

Researchers from Comsats University Islamabad in Pakistan and China’s Hohai University have demonstrated a new maximum power point tracking (MTTP) technique that's based on a fuzzy logic algorithm and ...

We tend to think that artificial intelligence views everything in a coldly logical, binary way, but by making A.I. a little “fuzzier,” the same system can be used to treat patients with bipolar ...

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 ...

Academics have developed a maximum power point tracking (MPPT) algorithm for PV systems that combines incremental conductance with fuzzy logic control. The inputs used are the sum of conductance and ...