activity
20202026
most citedDiscrete Lagrangian Neural Networks with Automatic Symmetry Discovery

7 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Steering with Contingencies: Combinatorial Stabilization and Reach-Avoid Filters

Yana Lishkova, Pio Ong, Sander Tonkens +2

In applications such as autonomous landing and navigation, it is often desirable to steer toward a target while retaining the ability to divert to at least (out of ) alterna…

math.OC2023

A successive convexification approach for robust receding horizon control

Yana Lishkova, Mark Cannon

A novel robust nonlinear model predictive control strategy is proposed for systems with nonlinear dynamics and convex state and control constraints. Using a sequential convex appro…

cs.LG2022★ 7 cited

Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery

Yana Lishkova, Paul Scherer, Steffen Ridderbusch +4

By one of the most fundamental principles in physics, a dynamical system will exhibit those motions which extremise an action functional. This leads to the formation of the Euler-L…

math.OC2021

A Multirate Variational Approach to Nonlinear MPC

Yana Lishkova, Mark Cannon, Sina Ober-Blöbaum

A multirate nonlinear model predictive control (NMPC) strategy is proposed for systems with dynamics and control inputs evolving on different timescales. The proposed multirate for…

math.OC2020★ 2 cited

A multirate variational approach to simulation and optimal control for flexible spacecraft

Yana Lishkova, Sina Ober-Blöbaum, Mark Cannon +1

We propose an optimal control method for simultaneous slewing and vibration control of flexible spacecraft. Considering dynamics on different time scales, the optimal control probl…