Posted December 6, 2024
Last modified January 2, 2025
Control and Optimization Seminar Questions or comments?
11:30 am – 12:20 pm Zoom (click here to join)
Harbir Antil, George Mason University
Optimization and Digital Twins
With recent advancements in computing resources and interdisciplinary collaborations, a new research field called Digital Twins (DTs) is starting to emerge. Data from sensors located on a physical system is fed into its DT, the DT in turn help make decisions about the physical system. This cycle then continues for the life-time of the physical system. A typical example is for instance a bridge. In many cases, these problems can be cast as optimization problems with finite or infinite dimensional (partial differential equations) constraints. This talk will provide an introduction to this topic. Special attention will be given to: 1) Optimization algorithms that are adaptive and can handle inexactness, e.g., Trust- Regions and ALESQP; 2) Optimization under uncertainty and tensor train decomposition to overcome the curse of dimensionality; 3) Reduced order modeling for dynamic optimization using randomized compression. Additionally, the DT framework may require coupling mutiphysics / systems / data with very different time scales. Keeping this in mind, a newly introduced notion of barely coupled problems will be discussed. Realistic examples of DTs to identify weakness in structures such as bridges, wind turbines, electric motors, and neuromorphic imaging will be considered.
Posted November 1, 2024
Last modified January 8, 2025
Control and Optimization Seminar Questions or comments?
11:30 am – 12:20 pm Zoom (click here to join)
Ali Zemouche, University of Lorraine, France
Advanced Robust Moving Horizon Estimation Schemes for Nonlinear Systems
This presentation deals with robust stability analysis of moving horizon estimation (MHE) for a class of nonlinear systems. New mathematical tools are introduced, enabling the development of new design conditions to optimize the parameters of the MHE scheme's cost function. These conditions are closely tied to the size of the MHE window and the system's incremental exponential input/output-to-state stability (i-EIOSS) coefficients. To enhance the robustness of the MHE while minimizing the window size, advanced prediction techniques are proposed. Additionally, innovative linear LMI-based methods are presented for synthesizing the i-EIOSS coefficients and prediction gains. The effectiveness of the proposed prediction methods is validated through numerical examples, highlighting their performance improvements.
Posted December 15, 2024
Control and Optimization Seminar Questions or comments?
11:30 am – 12:20 pm Zoom (click here to join)
Denis Dochain, Université Catholique de Louvain
IFAC Fellow
Automatic Control and Biological Systems: A Long Quiet River?
This talk aims to give an overview of more than 40 years of research activities in the field of modelling and control of biological systems. It will cover different aspects of modelling, analysis, monitoring and control of bio-systems, and will be illustrated by a large variety of biological systems, from environmental systems to biomedical applications via food processes or plant growth.
Posted December 23, 2024
Last modified January 10, 2025
Control and Optimization Seminar Questions or comments?
11:30 am – 12:20 pm Zoom (click here to join)
Carsten Scherer, University of Stuttgart, Germany
IEEE Fellow
Robust Control and the Design of Controllers for Optimization
Recent years have witnessed a renewed interest in considering optimization algorithms as feedback systems. This viewpoint turns, for example, the analysis of the convergence properties of a first order algorithm into a problem of stability analysis of a Lure system. In this talk we highlight why advanced methods in robust control play a key role for developing unprecedented tools to analyze the convergence properties of first order algorithms for solving strongly convex programs. In contrast to alternative approaches, we reveal that the proposed avenue permits not only the analysis but also the systematic design of optimization algorithms using convex semi-definite programming.
Posted December 8, 2024
Control and Optimization Seminar Questions or comments?
11:30 am – 12:20 pm Zoom (click here to join)
John Baras, University of Maryland
Fellow of AAAS, AMS, IEEE, and SIAM
TBA
Posted December 22, 2024
Control and Optimization Seminar Questions or comments?
11:30 am – 12:20 pm Zoom (click here to join)
Serdar Yuksel, Queen’s University, Canada
TBA
Posted December 9, 2024
Control and Optimization Seminar Questions or comments?
11:30 am – 12:20 pm Zoom (click here to join)
Serkan Gugercin, Virginia Tech
TBA
Posted December 21, 2024
Control and Optimization Seminar Questions or comments?
11:30 am – 12:20 pm Zoom (click here to join)
Saber Jafarpour, University of Colorado
TBA
Posted November 7, 2024
Control and Optimization Seminar Questions or comments?
11:30 am – 12:20 pm Zoom (click here to join)
Irena Lasiecka, University of Memphis
AACC Bellman Control Heritage Awardee, AMS Fellow, SIAM Fellow, and SIAM Reid Prize Awardee
TBA
Posted January 10, 2025
Control and Optimization Seminar Questions or comments?
11:30 am – 12:20 pm Zoom (click here to join)
Carolyn Beck, University of Illinois Urbana-Champaign
IEEE Fellow
TBA
Posted January 16, 2025
Control and Optimization Seminar Questions or comments?
11:30 am – 12:20 pm Zoom (click here to join)
Bahman Gharesifard, Queen's University
TBA