澳门新蒲京赌场0044

2020年春季先进机器人与人工智能系列学术讲座(第154期)

南开大学机器人与信息自动化研究所 天津市智能机器人技术重点实验室

Institute of Robotics and Automatic Information System

Tianjin Key Laboratory of Intelligent Robotics

2020年春季先进机器人与人工智能系列学术讲座(第154期)

Seminar Series:Advanced Robotics & Artificial Intelligence

报告题目Multi-objective Optimal Control Design for Nonlinear Dynamic Systems with Time Delay

报告时间2020年1月6日(周一)   上午10:00-11:30

报告地点南开大学人工智能北楼102会议室

报告嘉宾Jian-Qiao Sun 孙建桥Professor and Chair, Ph.D., P.E., ASME Fellow     Department of Mechanical Engineering     School of Engineering      University of California    Merced, CA 95343, U.S.A.


报告摘要

The first part of this talk will introduce briefly introduce the on-going projects systems in the Applied Controls laboratory at UC Merced. These include energy harvesting from highway traffic and application of machine learning to mechanical. We then focus on the discussion of recent studies of multi-objective optimal control design for nonlinear dynamic systems with time delay. The first and most important step in the control design for nonlinear dynamic systems with time delay is to guarantee the stability. The performance of the closed-loop system as a function of various system and control parameters is the next step. When there are multiple parameters and control objectives, such a quantitative design step is highly challenging. Very often, the control performance objectives are conflicting to each other, meaning that the improvement of one objective can cause other objectives to degrade. In this talk, we present the results of quantitative design of controls for nonlinear dynamic systems by using the advanced algorithms of multi-objective optimization. The controls can be of linear PID type or nonlinear feedback such as sliding mode. The advanced algorithms of multi-objective optimization consist of parallel cell mapping methods with sub-division techniques. Interesting examples of linear and nonlinear controls will be presented with both numerical simulations and experimental validations.

报告人简介:

Dr. Jian-Qiao Sun earned a BS degree in Solid Mechanics from Huazhong University of Science and Technology in Wuhan, China in 1982, a MS and a PhD in Mechanical Engineering from University of California at Berkeley in 1984 and 1988. He worked for Lord Corporation at their Corporate R&D Center in Cary, North Carolina. In 1994, Dr. Sun joined the faculty in the department of Mechanical Engineering at the University of Delaware as an Assistant Professor, was promoted to Associate Professor in 1998 and to Professor in 2003. He joined University of California at Merced in 2007, and is currently a professor and chair of the Department of Mechanical Engineering in School of Engineering. Besides many other editorial experiences, he is the Editor-in-Chief of International Journal of Dynamics and Control published by Springer.

His research interests include time-delayed dynamic systems, stochastic non-linear dynamics and control, cell mapping methods, multi-objective optimization, high-density piezoelectric energy harvesting from highway traffic, data-driven energy management of office building HVAC systems and machine learning applications to mechanical systems.