主講人：Andre A. Keller，法國(guó)第一巴黎大學(xué)潘提翁-索邦分校教授

時(shí)間：2026年1月3日13：30

地點(diǎn)：徐匯校區(qū)三號(hào)樓332室

舉辦單位：數(shù)理學(xué)院

主講人介紹：Andre A. Keller教授，1977年7月畢業(yè)于 University of Paris I – Panthéon-Sorbonne，獲得Ph.D. (Doctorat d’Etat) in Economics with distinction in Operation Research?，F(xiàn)就職于法國(guó)第一巴黎大學(xué)潘提翁-索邦分校, 法國(guó)國(guó)家科研中心（CNRS）成員, 著名老牌期刊J. Comput. Appl. Math.主編。主要從事運(yùn)籌學(xué)、計(jì)量經(jīng)濟(jì)學(xué)建模，以及確定性與隨機(jī)控制理論的研究.

內(nèi)容介紹：This speech will systematically present the latest research results on the convergence of solution sets for control systems driven by generalized multiobjective games and related optimization problems. First, we will review the framework of generalized multiobjective game control systems proposed by Hung and Keller (2023). Based on this, by introducing a gap function and using nonlinear scalarization techniques, we propose a key assumption. Under this key assumption, we then establish the lower convergence and convergence theorems for the solution sets of such problems. Next, we apply this analytical framework to a class of optimal control problems constrained by generalized multiobjective games. We thoroughly study the sufficient and necessary conditions for the convergence of their solution sets. Finally, as a practical application, we will consider an application to controlled systems of traffic networks.