control systems, and natural language processing, where traditional binary logic may struggle to deal with the complexity and ambiguity of real-world scenarios. Fuzzy logic is a powerful tool in ...

Both analogue and digital control are considered. Non-linear control is introduced through fuzzy logic control. Practical engineering applications are used to illustrate theory and concepts. The ...

This study presents a method to enhance the performance of Adaptive cruise control systems on sloped roads using fuzzy logic control techniques and the adaptive neuro-fuzzy inference system. First, an ...

Abstract: This paper explores a novel fuzzy fault-tolerant control scheme for hypersonic flight vehicles (HFVs) that accounts for parameter perturbations and system disturbances, thereby achieving ...

Diagrams have been central to scientific and technological development since methods to print them in mass quantities were invented. Yet in modern logic, the language of choice has been the symbolic ...

An AI Driven Partial Invoice matching System using combinatory approach of ML, NLP and fuzzy Theory. The system provides a detailed report on classification and similarity between two invoices and has ...

Two 3/2 valves with plunger actuators connected in series to create an AND circuit to control the SAC One use for an AND logic of 2 valves ... Figure caption, Circuit diagram of a unidirectional ...

Fuzzy sets and fuzzy logic are powerful mathematical tools for modeling and controlling uncertain systems in industry, humanity, and nature; they are facilitators for approximate reasoning in decision ...

Under these conditions self-organising fuzzy logic controllers and neural net controllers have common learning attributes. A theme example of the navigation and control of an autonomous guided vehicle ...