Zongli Lin
ZL

Zongli Lin

Professor
Unit: School of Engineering and Applied Science
Department: Department of Electrical and Computer Engineering
Office location and address
Thornton Hall, Room E313
351 McCormick Rd
Charlottesville, Virginia 22903
Education
B.S. ​Xiamen University, Xiamen, China, 1983
M.S. ​Chinese Academy of Space Technology, Beijing, China, 1989
Ph.D. ​Washington State University, Pullman, WA, 1994
Biography

Zongli Lin's current research interests include nonlinear control, robust control, and control applications. He was an Associate Editor of the IEEE Transactions on Automatic Control (2001-2003), IEEE/ASME Transactions on Mechatronics (2006-2009) and IEEE Control Systems Magazine (2005-2012). He was an elected member of the Board of Governors of the IEEE Control Systems Society (2008-2010) and chaired the IEEE Control Systems Society Technical Committee on Nonlinear Systems and Control (2013-2015). He has served on the operating committees of several conferences and will be the program chair of the 2018 American Control Conference. He currently serves on the editorial boards of several journals and book series, including Automatica, Systems & Control Letters, Science China Information Sciences, and Springer/Birkhauser book series Control Engineering. He is a Fellow of the IEEE, a Fellow of the IFAC, and a Fellow of AAAS, the American Association for the Advancement of Science.

Research Interest c. i. (2): A Deep Reinforcement Learning based Long-term Tracker for Salient Event Detection
Source: U.S. DOD - Army - Aro
June 01, 2020 – May 31, 2023
Navy Research Collaboration on Energy Resiliency
Source: Research Foundation for the State University of Ne
September 24, 2020 – September 23, 2021
10.4 Network Sciences: Coordinated Control of Multi-agent Systems with Real Work Constraints
Source: U.S. DOD - Army - Aro
September 25, 2017 – March 24, 2021
EN-EE A Sparse Coding Approach to Spatiotemporal Saliency Detection in Image and Video Databases
Source: U.S. DOD - Army - Aro
June 08, 2015 – June 07, 2019
EN-EE Control of Systems in the Presence of Input, State and Output Delays with Applications to Compressor Surge Control by Active Magnetic Bearings: A State Prediction Approach
Source: U.S. NSF - Directorate For Engineering
April 15, 2015 – March 31, 2019
EN-EE-Advanced Flexible Rotor/AMB Control for iC160
Source: Solar Turbines Inc.
June 16, 2016 – March 31, 2017
EN-EE AMB Control System Simulator - AMB Controller Design and Implementation
Source: Industrial Technology Research Institute
January 01, 2015 – August 31, 2016
EN-EE Coordinated Control of General Neutrally Stable Nonlinear Systems
Source: Qingdao Huiyi Smart Technology, Ltd., Co.
August 25, 2015 – August 24, 2016
EN-EE Time Domain Modeling of Non-Laminated Bearing Actuators
Source: Solar Turbines Inc.
April 15, 2015 – March 31, 2016
EN-EE Active Magnetic Bearing (AMB) Control System Simulator
Source: Industrial Technology Research Institute
January 01, 2014 – December 31, 2015
A Truncated Prediction Approach to Control of Time-Delay Systems with Applications to High Speed Rotor/AMB Systems
Source: U.S. NSF - Directorate For Engineering
September 01, 2011 – August 31, 2015
RS-2012 i6 Challenge - Virginia Innovation Partnership (VIP)
Source: U.S. DOC - Economic Development Administration
October 01, 2012 – March 31, 2015
Research Area 5: Video Data Mining and Target Tracking: A Model Adaptation and Feedback Control Approach
Source: U.S. DOD - Army - Aro
August 20, 2010 – February 19, 2014
Constrained Control of Multi-agent Systems
Source: Chinese Academy of Sciences
August 01, 2011 – July 31, 2013
High Density, High Efficiency Electrical Power Generation System for UAS Applications
Source: Innovative Power Solutions, LLC
September 01, 2011 – April 30, 2013
SYS 6012: Dynamic Systems
Credits: 3
Introduces modeling, analysis, and control of dynamic systems, using ordinary differential and difference equations. Emphasizes the properties of mathematical representations of systems, the methods used to analyze mathematical models, and the translation of concrete situations into appropriate mathematical forms. Primary coverage includes ordinary linear differential and difference equation models, transform methods and concepts from classical control theory, state-variable methods and concepts from modern control theory, and continuous system simulation. Applications are drawn from social, economic, managerial, and physical systems. Cross-listed as MAE 6620. Prerequisite: APMA 2130 or equivalent.
ECE 6502: Special Topics in Electrical and Computer Engineering
Credits: 3
A first-level graduate course covering a topic not normally covered in the graduate course offerings. The topic will usually reflect new developments in the electrical and computer engineering field. Offering is based on student and faculty interests. Prerequisite:  Instructor permission.
MAE 6620: Linear State Space Systems
Credits: 3
A comprehensive treatment of the theory of linear state space systems, focusing on general results which provide a conceptual framework as well as analysis tools for investigation in a wide variety of engineering contexts. Topics include vector spaces, linear operators, functions of matrices, state space description, solutions to state equations (time invariant and time varying), state transition matrices, system modes and decomposition, stability, controllability and observability, Kalman decomposition, system realizations, grammians and model reduction, state feedback, and observers. Cross-listed as SYS 6012 and ECE 6852. Prerequisite: Graduate standing.
ECE 6850: Introduction to Control Systems
Credits: 3
This course aims to provide an instruction to basic principles and tools for the analysis and design of control systems. It is intended for general graduate students in engineering and science. Topics to be covered include concepts, examples and designs of feedback, system modeling, linear and nonlinear dynamic behaviors, stability analysis, frequency domain analysis and design, transfer functions, PID control, and robustness of control systems.
ECE 6852: Linear State Space Control Systems
Credits: 3
Studies linear dynamical systems emphasizing canonical representation and decomposition, state representation, controllability, observability, stability normal systems, state feedbacks and the decoupling problem. Representative physical examples. Cross-listed as MAE 6620. Prerequisite: APMA 6150, ECE 6851, or instructor permission.
ECE 6993: Independent Study
Credits: 1–3
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
ECE 6996: Supervised Graduate Teaching Experience
Credits: 3
A guided teaching experience for Ph.D. students, with selected teaching assignments and directed performance evaluation, under the supervision of a faculty member, as a part of Ph.D. training designed for students' development of independent teaching skills.
ECE 8897: Graduate Teaching Instruction
Credits: 1–12
For master's students.
ECE 8999: Thesis
Credits: 1–12
Formal record of student commitment to master's thesis research under the guidance of a faculty advisor. May be repeated as necessary.
MAE 8999: Master's Thesis Research, Mechanical and Aerospace Engineering
Credits: 1–12
Formal documentation of faculty supervision of thesis research. Each full-time, resident Master of Science student in mechanical and aerospace engineering is required to register for this course for the number of credits equal to the difference between his or her regular course load (not counting the one-credit MAE 7510 seminar) and 12.
ECE 9897: Graduate Teaching Instruction
Credits: 1–12
For doctoral students.
MAE 9999: Dissertation Research, Mechanical and Aerospace Engineering
Credits: 1–12
Formal documentation of faculty supervision of dissertation research. Each full-time resident doctoral student in mechanical and aerospace engineering is required to register for this course for the number of credits equal to the difference between his or her regular course load (not counting the one-credit MAE 8591 seminar) and 12.
ECE 9999: Dissertation
Credits: 1–12
Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.