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Adaptation in Complex Engineering Systems

Automatic control of complex engineering systems is motivated by a range of factors including economy of cost and energy, environmental safety and protection, security and defense, and overall high performance. A concomitant feature in the endeavor of modeling of any complex system, a precursor to control design, is the presence of uncertainty. The presence of myriad mechanisms which are difficult to model, the complexity of the underlying mechanisms, the limitations of the modeling tools, and the variations of the environment as well as the system itself, all introduce uncertainties of different kinds into the underlying model. The field of adaptive control has evolved by classifying all uncertainties into parametric and nonparametric ones, and explicitly compensating for the former and implicitly accommodating the latter. Recent research activities carried out in our laboratory have focused on a reexamination of this classification and development of innovative theoretical tools, new algorithms, and novel control architectures. In this talk, highlights of these research activities including the adaptive algorithms, control architectures, and associated fundamental theorems of stability will be delineated. Numerical validation of these control methods using high-fidelity nonlinear models and experimental validation using bench-top as well as scaled experimental systems will be presented in a range of applications including aircraft systems, automotive systems, underwater vehicles, and turbine engines.

Type of Seminar:
Public Seminar
Prof. Anuradha Annaswamy
Department of Mechanical Eng., MIT, Cambridge, MA
Mar 31, 2009   16:15 /

ETH Zentrum, Building ETZ, Room E 7
Contact Person:

Prof. Lino Guzzella
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Biographical Sketch:
Dr. Annaswamy received the Ph.D. degree in electrical engineering from Yale University in 1985. She has been a member of the faculty at Yale, Boston University, and MIT, where currently she is the director of the Active-Adaptive Control Laboratory and a Senior Research Scientist in the Department of Mechanical Engineering. Her research interests pertain to adaptive control theory and applications to aerospace and automotive control, neural networks, active control of noise in thermo-fluid systems, active emission control, and active-adaptive control of autonomous vehicles in air and undersea. She has authored numerous journal and conference papers and a graduate textbook on adaptive systems. Dr. Annaswamy has received several awards including the Alfred Hay Medal from the Indian Institute of Science in 1977, the Stennard Fellowship from Yale University in 1980, the IBM post doctoral fellowship in 1985, the George Axelby Outstanding Paper award from IEEE Control Systems Society in 1988, the Presidential Young Investigator award from the National Science Foundation in 1991, and Hans Fisher Senior Fellowship from the Institute for Advanced Study at Technical University of Munich in 2008. Dr. Annaswamy is a Fellow of the IEEE and a member of AIAA.