贾庆山老师团队

简介智能与网络化系统研究中心

关注

实验室简介

The group is lead by Prof. (Samuel) Qing-Shan Jia. Our group are working on developing optimization-based control theory and methodology for large-scale complex systems through data-driven, statistical, and computational analysis with applications to energy systems, manufacturing systems, building systems, evacuation guidance systems, robotic systems, biological systems, ccyber-physicalsystems, and Ithe nternet of Things.

成员

更多>

贾庆山

Jingxian Tang

Teng Long

Zhaoyu Jiang

Junjie Wu

Kaiyuan Yu

刘智灵

新闻博客

更多>

Prof. Jia gave a talk at Boston University

To Sim or Not to Sim: Computing Budget Allocation in Simulation Optimization of Large Scale Networked Systems

Abstract: Advances in computing technology now allow us to simulate more and more systems with dynamics that can hardly be described by closed-form equations. This is especially true for many large scale networked systems such as remanufacturing, wireless sensor network, smart grid, and smart buildings. In order to find a good (not even the optimal) policy to govern the dynamics of these systems, one has to explore the exponentially exploding policy space using noisy and time-consuming simulation. Therefore it is of great practical interest to study how to efficiently allocate the computing budget so that a good policy can be found within a reasonable period of time. In this talk, we will show the optimal computing budget allocation for policy improvement and discuss its variants when the simulation time is stochastic and when the sample path can be reused. Applications in remanufacturing, wireless sensor network, and smart buildings will be shown.

Source

研究

更多>

Building Control Systems

Acknowledgment: Architecture Power Saving Research Center of Tsinghua University

Original Source

相册

更多>

访问量:521