EECS500 Spring 2016 Department Colloquium

Gang Tao
Adaptive Fault Accommodation Based Resilient Control Systems
University of Virginia
White 411
April 21, 2016

System faults such as component damage and actuator failures can cause large system structural and parametric uncertainties which challenge existing feedback control techniques. For performance-critical control system applications such as aircraft, spacecraft, power systems, cyber physical systems, the ultimate goal of resilient control is to ensure
desired system performance such as tracking or optimality, in addition to stability, despite the presence of uncertain faults in addition to uncertain system dynamics. Resilient control system techniques reply on new developments of control systems theory.

In this talk, we will describe some main features of resilient control systems and demonstrate how adaptive fault accommodation techniques can increase system resilience by adaptively compensating the effects of uncertain actuator failures and structural damage, to meet desired
system performance. A unique issue is to handle system faults without knowing their occurrence time and location and their signal components in an uncertain dynamic system. A desirable resilient control system should be able to ensure both stability and asymptotic tracking under such uncertainties. Adaptive control techniques are capable of dealing
with system uncertainties and have been developed for accommodating uncertain faults. In the talk, we will address some related technical issues including research motivation, characterization of resilient control systems, modeling of faults, system invariance for adaptive
fault accommodation, adaptive actuator failure compensation, adaptive control for systems with structural damage. System faults may cause unknown variations of certain key characteristics as control design
conditions. An open issue in adaptive fault accommondation is to deal
with such uncertainty of the system and fault uncertainties. We will
present illustrative examples from aircraft flight control systems to
show how adaptive fault accommodation designs can be made to ensure
desired system resilience to uncertain system faults.


Gang Tao received his B.S. degree from University of Science and Technology of China in 1982, and his M.S. degree and Ph.D. degree  from University of Southern California, USA, in 1984 and 1989. He is a professor of Electrical Engineering at University of Virginia.

His research has been mainly in adaptive control, with particular interests in adaptive control of systems with multiple inputs and multiple outputs, with nonsmooth nonlinearities or with uncertain faults such as actuator failures, sensor failures and structural damage, in stability and robustness of adaptive control systems, and in system passivity characterizations. He has published six books (including the 2003 Wiley textbook "Adaptive Control Design
and Analysis" and over 400 papers and book chapters on topics of adaptive control. His current research interests include adaptive control of systems with actuator failures and structural damage, adaptive approximation based control for non-canonical nonlinear
systems, and resilient system and control techniques.

He is an Associate Editor of Automatica and a subject Editor of International Journal of Adaptive Control and Signal Processing. He is a fellow of IEEE.