EE Colloquium: Control in the Presence of Large Uncertainties

Abstract: The concept of control and uncertainty are at the foundation of almost everything we do. Control helps us make things behave in a timely and prescribed manner, while the concept of uncertainty can make achieving our objectives even harder. Recent and popular studies have used the idea that a better description of the dynamics of a system helps one achieve a more reliable control of that system. However, several real-world systems can prove difficult to model and these systems can possess a completely different dynamic equation in a different phase of operation.  Furthermore, the effectiveness of control is only as good as the quality of information (data) that is used when executing a control action – poor data input into a well-designed controller can lead to undesirable performance. In this talk, I will present effective methods of reliable control for systems that their mathematical models are either limited or completely unavailable. I will outline scenarios where such methods can outperform controllers that were developed using a good understanding of the system’s dynamics. Furthermore, I will present methods of filtering (estimating) input data that are more effective than the well-known Gaussian-based Kalman filtering techniques. The methodologies I will discuss can be applied generally to a wide range of systems, and the filtering of data that can be characterized by a wide range of probability distributions. 


Share this event

facebook linked in twitter email

Media Contact: Iam-Choon Khoo



The School of Electrical Engineering and Computer Science was created in the spring of 2015 to allow greater access to courses offered by both departments for undergraduate and graduate students in exciting collaborative research fields.

We offer B.S. degrees in electrical engineering, computer science, computer engineering and data science and graduate degrees (master's degrees and Ph.D.'s) in electrical engineering and computer science and engineering. EECS focuses on the convergence of technologies and disciplines to meet today’s industrial demands.

School of Electrical Engineering and Computer Science

The Pennsylvania State University

207 Electrical Engineering West

University Park, PA 16802


Department of Computer Science and Engineering


Department of Electrical Engineering