Abstract: This article considers a Mayer-type optimal control problem of probabilistic Boolean control networks (PBCNs) with uncertainty on selection probabilities which obey Beta probabilistic ...

Abstract: This paper presents a new robust self-scheduling strategy for virtual power plants (VPPs) considering the uncertainty sources of electricity prices, wind generations, and loads.

With the advent of AI-mediated APIs, the era of manually hard-coding every integration between every microservice may be ...

I am Professor in the Industrial Engineering and Operations Research department at Columbia University. I received my PhD in Algorithms, Combinatorics and Optimization (ACO) in 2008 from Tepper School ...

Jeremiah Blocki, [email protected]: Monday @ 3:30 PM. GHC 7th floor lounge. Students can email me if they want to meet at a different time. Anvesh Komuravelli, [email protected]: Friday @ 4 ...

Features: AI is redrawing the enterprise software stack, turning applications into agents, data into context, and workflows ...

Ismail Hossain, Sai Puppala, Zhuoran Lu, Sajedul Talukder, Nan Jiang Robust Reasoning via Dynamic Token Selection for Distribution-Aligned Self-Distillation Ruiqi Zhang, Lingxiang Wang, Hainan Zhang ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...

Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.

underactuated robotics, actuated systems, nonlinear dynamics, simple pendulum, optimal control, double integrator, quadratic regulator, Hamilton-Jacobi-Bellman sufficiency, minimum time control, ...