Recent trends and perspectives of artificial intelligence-based machine learning from discovery to manufacturing in biopharmaceutical industry

R Maharjan, JC Lee, K Lee, HK Han, KH Kim… - Journal of …, 2023 - Springer
Background Machine learning (ML) tools have become invaluable in potential drug
candidate screening, formulation development, manufacturing, and characterization of …

Distributed Strategy Design for Nonlinear Games With General Linear Players and Its Application to Autonomous Electricity Markets

Z Deng, C Liu, J Luo - IEEE Transactions on Smart Grid, 2024 - ieeexplore.ieee.org
This paper investigates the constrained noncooperative games (NGs) of multi-agent
systems. In contrast to existing NGs, our formulation involves the general linear dynamics of …

Distributed online bandit tracking for Nash equilibrium under partial-decision information setting

ZC Feng, WY Xu, JD Cao, SF Yang… - Science China …, 2023 - Springer
This paper is concerned with a Nash equilibrium (NE) tracking issue in online games with
bandit feedback, where cost functions vary with time and agents only have access to the …

Lagrangian relaxation for continuous‐time optimal control of coupled hydrothermal power systems including storage capacity and a cascade of hydropower systems …

C Ben Hammouda, E Rezvanova… - Optimal Control …, 2023 - Wiley Online Library
This work considers a short‐term, continuous time setting characterized by a coupled power
supply system controlled exclusively by a single provider and comprising a cascade of …

Distributed Online Learning Algorithms for Aggregative Games Over Time-Varying Unbalanced Digraphs

X Zuo, Z Deng - 2023 62nd IEEE Conference on Decision and …, 2023 - ieeexplore.ieee.org
In this paper, online aggregative games over time-varying unbalanced digraphs are studied,
where the cost functions of players are time-varying and are gradually revealed to …