Gang Tao headshot
GT
Unit: School of Engineering and Applied Science
Department: Department of Electrical and Computer Engineering
Office location and address
Thornton Hall E-311
351 McCormick Rd
Charlottesville, Virginia 22903
Education
B.S. Electrical Engineering (1982), ​University of Science and Technology of China
M.S. Electrical Engineering (1984), M.S. Computer Engineering (1987), M.S. Applied Mathematics (1989), University of Southern California
Ph.D. ​Electrical Engineering (1989), University of Southern California
Biography

For more than 30 years, Professor Gang Tao has worked in various areas of adaptive control theory and applications, with particular interests in adaptive control of systems with multiple inputs and multiple outputs, systems with nonsmooth nonlinearities, and systems with uncertain faults, in stability and robustness of adaptive control systems, and in passivity characterizations of control systems.

His publications include the 2003 Wiley textbook "Adaptive Control Design and Analysis" (by Gang Tao), the 1996 Wiley book "Adaptive Control of Systems with Actuator and Sensor Nonlinearities" (by Gang Tao and Petar Kokotovic), the 2004 Springer book "Adaptive Control of Systems with Actuator Failures" (by Gang Tao, Shuhao Chen, Xidong Tang and Suresh M. Joshi), the 2003 Springer book "Control of Sandwich Nonlinear Systems" (by Avinash Taware and Gang Tao), the 2001 Springer book "Adaptive Control of Nonsmooth Dynamic Systems" (edited by Gang Tao and Frank Lewis), the 2009 book "Advances in Control Systems Theory and Applications"  (edited by Gang Tao and Jing Sun), and over 400 technical papers and book chapters. Recently he has been working on adaptive control of systems with uncertain actuator failures and actuator nonlinearities, structural damage, sensor uncertainties and failures, dynamics mutation, on adaptive approximation control of noncanonical form nonlinear systems, on intelligent and adaptive learning systems, and on resilient robot control, high-speed train control, aircraft and spacecraft flight control, and renewable energy system control applications.

He is an associate editor for Automatica and a subject editor for International Journal of Adaptive Control and Signal Processing (for
which he was a guest editor for a 1997 special issue on Adaptive Systems with Nonsmooth Nonlinearities). He was an associate editor for IEEE Trans. on Automatic Control from 1996 to 1999. He organized and chaired the 2001 International Symposium on Adaptive and Intelligent Systems and Control, held in Charlottesville, Virginia, and organized invited sessions for 1996 IEEE CDC and 1999 IEEE CCA on adaptive control of systems with nonsmooth nonlinearities. He served on numerous international conferences' technical and advisory committees and as Technical Conference Chair for IEEE SoutheastCon 2007. He was a plenary speaker at the 2011 SIAM SEAS, the 2011 Chinese Safeprocess Conference, and the 2016 IEEE Chinese Guidance, Navigation and Control Conference, and a keynote speaker at the 2013 IEEE Conference on Industrial Electronics and Applications.

He is a Fellow of IEEE.

EN-DO Research in Support of Leidos's Strategic Alliance with UVA
Source: Leidos, Inc.
January 01, 2018 – December 31, 2021
SMART Mobility: Stochastic Distribution Control for Inter-sectional Signal Timing
Source: UT-Battelle, LLC
August 26, 2019 – May 25, 2020
EN-EE Adaptive Fault Accommodation Based Resilient Control Techniques
Source: U.S. NSF - Directorate For Engineering
August 01, 2015 – July 31, 2019
Adaptive Platform-Independent Control System for Remotely Operated Vechicle (ROV) Launch and Recovery
Source: Barron Associates, Inc.
January 23, 2012 – September 30, 2013
ECE 4501: Special Topics in Electrical and Computer Engineering
Credits: 1–4
A fourth-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.
ECE 4502: Special Topics in Electrical and Computer Engineering
Credits: 1–4
A fourth-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.
ECE 4850: Linear Control Systems
Credits: 3
Explores the modeling of linear dynamic systems via differential equations and transfer functions utilizing state space representations and classical input-output representations; the analysis of systems in the time and frequency domains; study of closed-loop systems; state-space methods and the classical stability tests, such as the Routh-Hurwitz criterion, Nyquist criterion, root-locus plots and Bode plots. Studies compensation design through lead and lag networks, rate feedback, and linear state-variable feedback. Prerequisite: ECE 3750 or instructor permission.
ECE 4855: Control Laboratory
Credits: 2
A laboratory consisting of design, analysis, construction, and testing of electrical and electromechanical circuits and devices. Corequisite: ECE 4850.
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 6501: 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.
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 6610: Linear Automatic Control Systems
Credits: 3
Studies the dynamics of linear, closed-loop systems. Analysis of transfer functions; stability theory; time response, frequency response; robustness; and performance limitations. Design of feedback controllers. Cross-listed as ECE 6851. 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 6851: Linear Automatic Control Systems
Credits: 3
Provides a working knowledge of the analysis and design of linear automatic control systems using classical methods. Introduces state space techniques; dynamic models of mechanical, electrical, hydraulic and other systems; transfer functions; block diagrams; stability of linear systems, and Nyquist criterion; frequency response methods of feedback systems design and Bode diagram; Root locus method; System design to satisfy specifications; PID controllers; compensation using Bode plots and the root locus. Powerful software is used for system design. Cross-listed as MAE 6610. Prerequisite: ECE 3750 or instructor permission.
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.
MAE 7650: Multivariable Control
Credits: 3
State space theories for linear control system design have been developed over the last 40 years. Among those, H2 and Hinf control theories are the most established, powerful, and popular in applications. This course focuses on these theories and shows why and how they work. Upon completion of this course, student will be confident in applying the theories and will be equipped with technical machinery that allows them to thoroughly understand these theories and to explore new control design methods if desired in their own research. More importantly, students will learn a fundamental framework for optimal system design from a state perspective. Cross-listed as ECE 7855. Prerequisite: MAE 6620.
ECE 7855: Multivariable Robust Control Systems
Credits: 3
Studies advanced topics in modern multivariable control theory; matrix fraction descriptions, state-space realizations, multivariable poles and zeroes; operator norms, singular value analysis; representation of unstructured and structured uncertainty, linear fractional transformation, stability robustness and performance robustness, parametrization of stabilizing controllers; approaches to controller synthesis; H2-optimal control and loop transfer recovery; H2-optimal control and state-space solution methods. Cross-listed as MAE 7650. Prerequisite: ECE 6852 or equivalent, or instructor permission.
ECE 7993: Independent Study
Credits: 3
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
ECE 7995: Supervised Project Research
Credits: 3–6
Formal record of student commitment to project research under the guidance of a faculty advisor. Registration may be repeated as necessary.
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.
ECE 9897: Graduate Teaching Instruction
Credits: 1–12
For doctoral students.
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.