Published: Mar 20, 2025 by Daning Huang
On Mar. 20th, Dr. Huang delivered a seminar in the department, since his last seminar in 2019. The seminar presents some of the key achievements of the group in the past years, and some of the current main research thrusts.
Abstract: This talk addresses the challenges in designing the next-generation engineering systems — think high-speed aircraft and autonomous vehicles — which require a control co-design approach that considers dynamical and control performance at an early design stage. In this case, the co-design suffers from a computational bottleneck, denoted as the Impossible Trinity of Modeling. This means, for a dynamical model, satisfying any two sacrifices the third: high fidelity, computational efficiency, and design parametrization.
We present our recent efforts in resolving the bottleneck via the Geometry-Informed Reduced-Order Modeling. In simple terms, we use known physical laws and the inherent topology of the system dynamics to build data-driven models that turn the Impossible Trinity to a possible one. This methodology potentially opens up the path towards integrated multi-disciplinary optimization of complex dynamical systems.