IEEE

Practical Nonlinear Model Predictive Control With Kolmogorov–Arnold Network Models

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
IEEE

Enhancing Resilience of Networked Microgrids Using V2G: A Distributed Model Predictive Control Approach with Non-Intrusive Battery Surrogate Model

Abstract: Enhancing the resilience of networked microgrids (NMGs) through model predictive control-based vehicle-to-grid (V2G) strategies faces a key challenge due to the lack of real-time perception ...
Frontiers

Prescribed-Time and Prescribed-Performance Control for Nonlinear Dynamical Systems

The evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.
Investopedia

Black-Scholes Model: What It Is, How It Works, and the Options Formula

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
GitHub

A Latent Predictive Foundation Model for Echocardiography

Foundation models for echocardiography often struggle to disentangle anatomical signal from the stochastic speckle and acquisition artifacts inherent to ultrasound. We present EchoJEPA, a foundation ...