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Mixed Leader-Follower Game With Constraints: A Lagrange Multiplier Method

2024-06-28 15:04

报告人: Jianhui Huang

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时间: 2024年7月4日下午2:00

地点: 线上腾讯会议:670400884

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摘要:We discuss an open-loop backward Stackelberg differential game involving a single leader and single follower. The state to be controlled is characterized by a backward stochastic differential equation for which the terminal- instead of the initial condition is specified a priori; the decisions of the leader consist of a static terminal-perturbation and a dynamic linear-quadratic control. In addition, the terminal control is subject to (convex-closed) pointwise and (affine) expectation constraints. Both constraints arise from real applications such as mathematical finance. For the information pattern, the leader announces both terminal and open-loop dynamic decisions at the initial time while taking into account the best response of the follower. Then, two interrelated optimization problems are sequentially solved by the follower (a backward linear-quadratic problem) and the leader (a mixed terminal-perturbation and backward-forward LQ problem). Our open-loop Stackelberg equilibrium is represented by some coupled backward-forward stochastic differential equations (BFSDEs) with mixed initial-terminal conditions. Our BFSDEs also involve a nonlinear projection operator (due to pointwise constraint) combining with a Karush--Kuhn--Tucker system (due to expectation constraint) via Lagrange multiplier. The global solvability of such BFSDEs is also discussed in nontrivial cases.

报告人简介:

Jianhui Huang received the B.S. degree in operational research and control theory, the M.Sc. degree in probability theory and mathematical statistics from the School of Mathematics and System Sciences, Shandong University, Jinan, China, respectively, in 1998 and 2001 and the Ph.D. degree in mathematical finance from the Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, Canada, in 2007. Since 2007, he has been with The Hong Kong Polytechnic University, Hong Kong, with the Department of Applied Mathematics. His current research interests include stochastic control and optimization, stochastic dynamic games, large population systems, and their applications. He has published in journals such as SIAM Journal on Control and Optimization, IEEE TAC, and Automatica.


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