Abstract: A dual-mode model predictive ... on the system. A robustness constraint with scaling parameters is introduced to efficiently handle uncertainty in the MPC algorithm. The control strategy ...

It also makes model ... power of predictive and prescriptive analytics comes when the models are insightful and integrated. That means daily embedding them into the workflows, systems and decision ...

Abstract: A dynamic event-triggered distributed model predictive control framework based on the Stackelberg game is proposed to address the stability challenges of nonlinear multi-agent systems ...

This repo contains the code associated to our paper Simultaneous System Identification and Model Predictive Control with No Dynamic Regret. In the paper, we propose the algorithm SSI-MPC, for ...

Gangadhar Vasanthapuram received a 2025 Global Recognition Award for distinguished leadership and notable achievements in ...

Pickle, commonly used to compress AI models, is inherently unsafe because it allows embedded Python code ... supply chain model attacks, and direct prompt and indirect prompt attacks) across both ...

2505.01341v1 null 2025-05-02 Cramér-Rao Bounds for Integrated Sensing and Communications in Pinching-Antenna Systems Dimitrios Bozanis ... null 2025-05-02 Differentiable Nonlinear Model Predictive ...

It creates dynamic product collections ... Crisp Data Platform is an AI system that processes retail data from over 40 retailers and distributors to give CPG (Consumer Packaged Goods) brands ...