H∞ and μ-Synthesis for Nanosatellites Rendezvous and Docking

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A stochastic model predictive control framework over unreliable Bernoulli communication channels, in the presence of unbounded process noise and under bounded control inputs, is presented for tracking a reference signal. The data losses in the control chan ...

We report a state-prepared, state-resolved study of rotational scattering of a diatomic molecule from a solid surface. Specifically, H-2 molecules with 80 meV kinetic energy are rotationally aligned in the j = 3 rotational state via stimulated Raman pumpin ...

The output of physical systems, such as the scrambled pattern formed by shining the spot of a laser pointer through fog, is often easily accessible by direct measurements. However, selection of the input of such a system to obtain a desired output is diffi ...

Enabling analysis of non-linear systems in linear form, the Koopman operator has been shown to be a powerful tool for system identification and controller design. However, current data-driven methods cannot provide quantification of model uncertainty given ...

Humans manage to communicate action intentions in a non-verbal way, through body posture and movement. We start from this observation to investigate how a robot can decode a human's non-verbal cues during the manipulation of an object, with specific physic ...

Traffic management for large-scale urban road networks remains a challenging problem. Aggregated dynamical models of city-scale traffic, based on the macroscopic fundamental diagram (MFD), enable development of model-based control schemes for use with the ...

A new data-driven approach using the frequency response function (FRF) of a system is proposed for designing robust-fixed structure digital controllers for particle accelerators' power converters. This design method ensures that the dynamics of a system ar ...

H∞ and μ-Synthesis for Nanosatellites Rendezvous and Docking

Chattez avec Graph Search

Reference tracking stochastic model predictive control over unreliable channels and bounded control actions

Survival of rotational alignment in H-2 scattering from Si(100)

Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media

On Gaussian Process Based Koopman Operators

From human action understanding to robot action execution: how the physical properties of handled objects modulate non-verbal cues

Model predictive perimeter control of MFD networks with guaranteed stability

A Robust Data-Driven Controller Design Methodology With Applications to Particle Accelerator Power Converters