15 citations · 23 across the 7 of their papers we have counts for
17 papers · 1 filter
Fast optimal trajectory generation for a tiltwing VTOL aircraft with application to urban air mobility
Martin Doff-Sotta, Mark Cannon, Marko Bacic
We solve the minimum-thrust optimal trajectory generation problem for the transition of a tiltwing Vertical Take-Off and Landing (VTOL) aircraft using convex optimisation. The meth…
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…
Output feedback stochastic MPC with packet losses
Shuhao Yan, Mark Cannon, Paul Goulart
The paper considers constrained linear systems with stochastic additive disturbances and noisy measurements transmitted over a lossy communication channel. We propose a model predi…
Optimal energy management for hybrid electric aircraft
Martin Doff-Sotta, Mark Cannon, Marko Bacic
A convex formulation is proposed for optimal energy management in aircraft with hybrid propulsion systems consisting of gas turbine and electric motor components. By combining a po…
Optimal Power Allocation in Battery/Supercapacitor Electric Vehicles using Convex Optimization
Sebastian East, Mark Cannon
This paper presents a framework for optimizing the power allocation between a battery and supercapacitor in an electric vehicle energy storage system. A convex optimal control form…
Infinite-Horizon Differentiable Model Predictive Control
Sebastian East, Marco Gallieri, Jonathan Masci +2
This paper proposes a differentiable linear quadratic Model Predictive Control (MPC) framework for safe imitation learning. The infinite-horizon cost is enforced using a terminal c…