16 papers
Optimal Sensor Placement for Output Estimation Using an Artificial Bee Colony Algorithm with Pre-filter
R. P. P. F. Goetz, Y. Dwaraga, N. van de Wouw +4
Sensor placement for maximizing the estimation performance of the Kalman filter is an NP-hard optimization problem. Furthermore, its feasible set grows combinatorially with the can…
Generalizing Reduced Rank Extrapolation to Low-Rank Matrix Sequences
Pascal den Boef, Patrick Kürschner, Xiaobo Liu +5
Reduced rank extrapolation (RRE) is an acceleration method typically used to accelerate the iterative solution of nonlinear systems of equations using a fixed-point process. In thi…
Confidentiality of Linear Control Systems with Quadratic Output Under Sensor Attacks [Extended Version]
Zeyad M. Manaa, Nathan van de Wouw, Michelle S. Chong
We study the state estimation problem for linear control systems with quadratic outputs which are locally unobservable at the equilibrium. We show that, despite this inherent lack…
Uncertainty-based perturb and observe for data-driven optimization
Leontine Aarnoudse, Mark Haring, Nathan van de Wouw +1
Data-based adaptive optimization methods hold great promise for the performance optimization of uncertain, time-varying processes. However, current methods are often based on conti…
Considering Perspectives for Automated Driving Ethics: Collective Risk in Vehicular Motion Planning
Leon Tolksdorf, Arturo Tejada, Christian Birkner +1
Recent automated vehicle (AV) motion planning strategies evolve around minimizing risk in road traffic. However, they exclusively consider risk from the AV's perspective and, as su…
Improving CACC Robustness to Parametric Uncertainty via Plant Equivalent Controller Realizations
Mischa Huisman, Thomas Arnold, Erjen Lefeber +2
Cooperative Adaptive Cruise Control (CACC) enables vehicle platooning through inter-vehicle communication, improving traffic efficiency and safety. Conventional CACC relies on feed…