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20162023
most citedAn ADMM Algorithm for MPC-based Energy Management in Hybrid Electric Vehicles with Nonlinear Losses

15 citations · 27 across the 14 of their papers we have counts for

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Showing 2020 · math.OCShow all

5 papers · 2 filters

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…

math.OC2020

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…

math.OC2020

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…

math.OC2020

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…

math.OC2020★ 6 cited

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…