Researchers develop AI tool that finds the equations behind complex systems

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...

Diffractive networks enable optical information transfer through random and unknown diffusers

The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, ...
IEEE

Event-Triggered Adaptive Neural Control for Pure Feedback Stochastic Nonlinear Systems With Input Saturation and Output State Constraints

Abstract: This paper proposes a novel event-triggered adaptive neural control scheme for pure-feedback stochastic nonlinear systems subject to input saturation and partial state constraints. By ...
IEEE

A Novel Dynamic Event-Triggered Fuzzy Adaptive Prescribed-Time Tracking Control for Nonstrict Feedback Nonlinear Systems With Unknown Control Directions

Abstract: Control design for nonstrict feedback nonlinear systems (NSFNS) with nonlower triangular structure may encounter algebraic loop problem, which is a significant, challenging, yet complicate ...