Just as general-purpose models opened the era of practical AI, narrow, orchestrated models could define the economics and ...

Abstract: In this work, a new adaptive predictive iterative learning control (APILC) scheme is designed for a class of multiple-input-multiple-output (MIMO) discrete-time nonlinear systems, which ...

Mar. 18, 2026 Your morning coffee or tea could be quietly supporting your brain health. A long-term study found that moderate consumption of caffeinated coffee or tea was linked to an 18% lower risk ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: This paper is concerned with the adaptive dynamic event-triggered (DET) H ∞ control for a class of networked nonlinear systems with non-uniform sampling under the Takagi-Sugeno (T-S) fuzzy ...

This project features a complete control pipeline for a prosthetic arm, moving from basic serial communication to complex Inverse Kinematics and a Graphical User Interface (GUI). Hardware Setup ...