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The Economist

AI tools are being prepared for the physical world

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...
IEEE

Learning-Based Model Predictive Control With High-Probability Safety Using Gaussian Mixture Models

Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...
IEEE

UDE-MPC: Robust Model Predictive Control with Flexible Constraints for Pointing Servo Systems

Abstract: Pointing control technology is critical for numerous applications such as space communication and target surveillance. The challenge for pointing systems is to achieve the highest possible ...
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 ...