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Robust Decision Making Under Uncertainty

The physical world is full of unknowns. The ability for a person or a robot to factor knowledge of the uncertainty into its decision-making process is a sign of intelligence. Statler College researchers are working on fault tolerant systems design, adaptive control, decision making under uncertainty, robust autonomy and morphological computing to advance robots.   

Affiliated Faculty

Recent Publications

  1. Al-Sinbol G., Perhinschi M. G., “Development of an Artificial Immune System for Power Plant Abnormal Condition Detection, Identification, and Evaluation”, International Review of Automatic Control, Vol. 10, No. 3, pp 218-228, May-June 2017
  2. Perhinschi M. G., Al-Sinbol G., “Artificial Dendritic Cell Algorithm for Advanced Power System Monitoring”, International Review of Automatic Control, Vol. 9, No. 5, pp 330-340, September 2016
  3. Perhinschi M. G., Al Azzawi D., Moncayo H., Perez A.,Togayev A., “Immunity-based Actuator Failure Evaluation”, Aircraft Engineering and Aerospace Technology, Vol. 88, No. 6, pp 729-739, doi: 10.1108/AEAT-07-2014-0117, 2016
  4. Perhinschi M. G., Al Azzawi D., Moncayo H., Togayev A., Perez A., “Immunity-based Flight Envelope Prediction at Post-failure Conditions”, Aerospace Science and Technology, Vol. 46, pp 264-272, doi: 10.1016/j.ast.2015.07.014, Oct.-Nov., 2015
  5. Perhinschi M. G., Al-Sinbol G., Bhattacharyya D., Lima F., Mirlekar G., Turton R., “Development of an Immunity-based Framework for Power Plant Monitoring and Control”, Advanced Chemical Engineering Research, Vol. 4, Iss. 1, pp. 15-28, September 2015
  6. Al Azzawi D., Perhinschi M. G., Moncayo H., Perez A. E., “A Dendritic Cell Mechanism for Detection, Identification, and Evaluation of Aircraft Failures”, Journal of Control Engineering Practice, Vol. 41, 00.,pp. 134-148, doi:10.1016/j.conengprac.2015.04.010, Aug. 2015