Mohamed K. Helwa

Int. J. Robotics Res., 2020

2019

Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems.

[BibT_eX]

[DOI]

Adam Heins

IEEE Robotics Autom. Lett., 2019

Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

2018

An Inversion-Based Learning Approach for Improving Impromptu Trajectory Tracking of Robots With Non-Minimum Phase Dynamics.

[BibT_eX]

[DOI]

Siqi Zhou

IEEE Robotics Autom. Lett., 2018

Data-Efficient Multirobot, Multitask Transfer Learning for Trajectory Tracking.

[BibT_eX]

[DOI]

Karime Pereida

IEEE Robotics Autom. Lett., 2018

Estimation-Based Model Predictive Control for Automatic Crosswind Stabilization of Hybrid Aerial Vehicles.

[BibT_eX]

[DOI]

Adrian Esser

CoRR, 2018

On the construction of safe controllable regions for affine systems with applications to robotics.

[BibT_eX]

[DOI]

Autom., 2018

Hybrid Model Predictive Control for Crosswind Stabilization of Hybrid Airships.

[BibT_eX]

[DOI]

Julian F. M. Foerster

Xintong Du

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

2017

In-Block Controllability of Affine Systems on Polytopes.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Efficient Multi-Task and Multi-Robot Transfer with Continued Learning.

[BibT_eX]

[DOI]

Karime Pereida

CoRR, 2017

Multi-robot transfer learning: A dynamical system perspective.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Deep neural networks for improved, impromptu trajectory tracking of quadrotors.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Design of deep neural networks as add-on blocks for improving impromptu trajectory tracking.

[BibT_eX]

[DOI]

Siqi Zhou

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

On the necessity of the invariance conditions for reach control on polytopes.

[BibT_eX]

[DOI]

Zhiyun Lin

Syst. Control. Lett., 2016

On the Control of Affine Systems with Safety Constraints: Relaxed In-Block Controllability.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Flow functions, control flow functions, and the reach control problem.

[BibT_eX]

[DOI]

Autom., 2015

On the construction of in-block controllable covers of nonlinear systems on polytopes.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Epsilon controllability of nonlinear systems on polytopes.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

In-Block Controllability of Controlled Switched Linear Systems on Polytopes.

[BibT_eX]

[DOI]

Proceedings of the 5th IFAC Conference on Analysis and Design of Hybrid Systems, 2015

2014

Hierarchical control of piecewise affine hybrid systems.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Relaxed in-block controllability of affine systems on polytopes.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Constrained control of the synchromesh operating state in an electric vehicle's clutchless automated manual transmission.

[BibT_eX]

[DOI]

Hossein Vahid Alizadeh

Benoit Boulet

Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013

Monotonic Reach Control on Polytopes.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2013

2012

Generalized flow conditions for reach control on polytopes.

[BibT_eX]

[DOI]