Zobrazeno 1 - 10
of 4 856
pro vyhledávání: '"Max, H."'
Autonomous systems typically leverage layered control architectures with a combination of discrete and continuous models operating at different timescales. As a result, layered systems form a new class of hybrid systems composed of systems operating
Externí odkaz:
http://arxiv.org/abs/2409.14902
Binned scatter plots are a powerful statistical tool for empirical work in the social, behavioral, and biomedical sciences. Available methods rely on a quantile-based partitioning estimator of the conditional mean regression function to primarily con
Externí odkaz:
http://arxiv.org/abs/2407.15276
Publikováno v:
IEEE Control Systems Letters, 2024
Certifying the safety of nonlinear systems, through the lens of set invariance and control barrier functions (CBFs), offers a powerful method for controller synthesis, provided a CBF can be constructed. This paper draws connections between partial fe
Externí odkaz:
http://arxiv.org/abs/2406.02709
Modern autonomous systems, such as flying, legged, and wheeled robots, are generally characterized by high-dimensional nonlinear dynamics, which presents challenges for model-based safety-critical control design. Motivated by the success of reduced-o
Externí odkaz:
http://arxiv.org/abs/2403.09865
Measuring the dynamics and mechanical properties of muscles and joints is important to understand the (patho)physiology of muscles. However, acquiring dynamic time-resolved MRI data is challenging. We have previously developed Spectro-Dynamic MRI whi
Externí odkaz:
http://arxiv.org/abs/2310.07622
Optimization-based safety filters, such as control barrier function (CBF) based quadratic programs (QPs), have demonstrated success in controlling autonomous systems to achieve complex goals. These CBF-QPs can be shown to be continuous, but are gener
Externí odkaz:
http://arxiv.org/abs/2309.12614
In this paper, we present a framework for online parameter estimation and uncertainty quantification in the context of adaptive safety-critical control. The key insight enabling our approach is that the parameter estimate generated by the continuous-
Externí odkaz:
http://arxiv.org/abs/2304.01901