Ph.D. Princeton University (1968)
Robert Stengel is Professor of Engineering and Applied Science, Director of the Program on Robotics and Intelligent Systems and a Member of the Burroughs Wellcome Fund Graduate Training Progam in Biological Dynamics. His current research focuses on bioinformatics, robust control, neural networks, and intelligent systems.
Dr. Stengel is teaching Aircraft Flight Dynamics (MAE 331) during the Fall 2004 term. He is engaged in a collaboration to correlate epithelial cancer with gene expressions portrayed by DNA microarray data, New Methods for Cancer Detection. Team members come from Princeton's Department of Molecular Biology, Weill Medical College of Cornell University, Memorial Sloan Kettering Cancer Center, Rockefeller University, University of Medicine and Dentistry of New Jersey, and Weizmann Institute of Science. The Alfred P. Sloan Foundation recently supported research on Optimal Control of Disease Processes, in which optimal control theory and mathematical models of the immune system are used to suggest therapeutic protocols for enhancing immune response, with a particular emphasis on HIV.
- New Methods for Cancer Detection (National Cancer Institute)
- Joint University Program for Air Transportation Research (FAA/NASA)
- Robust Control System Design Using Simulated Annealing, J. Guidance, Control, and Dynamics, Vol. 25, No. 2, Mar-Apr 2002, pp. 267-274 (with T. Motoda, and Y. Miyazawa).
- Optimal Control of Innate Immune Response, Optimal Control Applications & Methods, Vol. 23, Mar-Apr 2002, pp. 91-104 (with R. Ghigliazza, N. Kulkarni, and O. Laplace).
- Classical/Neural Synthesis of Nonlinear Control Systems, J. Guidance, Control, and Dynamics, Vol. 25., No. 3, May-June 2002, pp. 442-448 (with S. Ferrari).
- Robust Control of Nonlinear Systems with Parametric Uncertainty, Automatica, Vol. 38, Sept 2002, pp. 1591-1599 (with Q. Wang).
- Optimal Enhancement of Immune Response, Bioinformatics, Vol. 18, No. 9, Sept 2002, pp. 1227-1235 (with R. Ghigliazza and N. Kulkarni).
- On-Line Adaptive Critic Flight Control, to appear in J. Guidance, Control, and Dynamics (with S. Ferrari).
- Robust Nonlinear Flight Control of a High-Performance Aircraft, to appear in IEEE Trans. Control Systems Technology (with Q. Wang).
- Smooth Function Approximation Using Neural Networks, to appear in IEEE Trans. Neural Networks (with S. Ferrari).
- Model-based Adaptive Critic Designs, to appear in Learning and Approximate Dynamic Programming, J. Si, A. Barto, W. Powell, and D. Wunsch, ed., J. Wiley & Sons, New York (with S. Ferrari).
- Probabilistic Control of Nonlinear Uncertain Dynamic Systems, to appear in Probabilistic and Randomized Methods for Design under Uncertainty, G. Calafiore and F. Dabbene, ed., IEEE Press, Piscataway, NJ (with Q. Wang).