Hossam S. Abbas
Orcid: 0000-0002-5264-5906Affiliations:
- Assiut University, Faculty of Engineering, Egypt
- University of Lübeck, Institute for Electrical Engineering in Medicine, Germany
- Hamburg University of Technology, Germany (PhD 2010)
According to our database1,
Hossam S. Abbas
authored at least 55 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Linear parameter-varying model predictive control for nonlinear systems using general polytopic tubes.
Autom., February, 2024
2023
On the Design of Nonlinear MPC and LPVMPC for Obstacle Avoidance in Autonomous Driving.
CoRR, 2023
On the Design of Nonlinear MPC and LPVMPC for Obstacle Avoidance in Autonomous Driving<sup>*</sup>.
Proceedings of the 9th International Conference on Control, 2023
2022
CoRR, 2022
CoRR, 2022
A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees.
CoRR, 2022
Model Predictive Control of Linear Parameter-Varying Systems Using Gaussian Processes.
Proceedings of the 26th International Conference on System Theory, Control and Computing , 2022
Proceedings of the 8th International Conference on Mechatronics and Robotics Engineering, 2022
Proceedings of the European Control Conference, 2022
Recursively Feasible Model Predictive Control using Latent Force Models Applied to Disturbed Quadcopters.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the American Control Conference, 2022
A Safe Control Architecture Based on Robust Model Predictive Control for Autonomous Driving.
Proceedings of the American Control Conference, 2022
2021
CoRR, 2021
Model Predictive Control Based on Linear Parameter-Varying Models of Active Magnetic Bearing Systems.
IEEE Access, 2021
Practical Model Predictive Control for a Class of Nonlinear Systems Using Linear Parameter-Varying Representations.
IEEE Access, 2021
A Safe Control Architecture Based on a Model Predictive Control Supervisor for Autonomous Driving.
Proceedings of the 2021 European Control Conference, 2021
Iterative Gaussian Process Model Predictive Control with Application to Physiological Control Systems<sup>*</sup>.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Modeling and parameter identification for real-time temperature controlled retinal laser therapies.
Autom., 2020
2019
Tube-based model predictive control for linear parameter-varying systems with bounded rate of parameter variation.
Autom., 2019
Model Predictive Control using Efficient Gaussian Processes for Unknown Disturbance Inputs.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
An LMI-based approach to distributed model predictive control design for spatially-interconnected systems.
Autom., 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Autom., 2017
2016
Non-prehensile manipulation planning of a three-rigid-link object using two cooperative robot arms.
Int. J. Model. Identif. Control., 2016
Distributed model predictive control of constrained spatially-invariant interconnected systems in input-output form.
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the IEEE International Symposium on Intelligent Control, 2016
2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 2015 IEEE Conference on Control Applications, 2015
Proceedings of the 2015 IEEE Conference on Control Applications, 2015
2014
Synthesis of LPV Controllers With Low Implementation Complexity Based on a Reduced Parameter Set.
IEEE Trans. Control. Syst. Technol., 2014
Design of an optimized sliding mode control for loaded double inverted pendulum with mismatched uncertainties.
Proceedings of the 19th International Conference On Methods and Models in Automation and Robotics, 2014
Proceedings of the American Control Conference, 2014
2013
Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2013
Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2013
Fixed-structure LPV controller synthesis based on implicit input output representations.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the American Control Conference, 2013
2012
IEEE Trans. Control. Syst. Technol., 2012
Closed-loop stability and performance optimization in LPV control based on a reduced parameter set.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the American Control Conference, 2012
2011
Frequency-Weighted Discrete-Time LPV Model Reduction Using Structurally Balanced Truncation.
IEEE Trans. Control. Syst. Technol., 2011
Identification of Box-Jenkins models for Parameter-Varying Spatially Interconnected systems.
Proceedings of the American Control Conference, 2011
2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Linear Recurrent Neural Network for open- and closed-loop consistent identification of LPV models.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
LPV gain-scheduling control of an electromechanically driven landing gear for a commercial aircraft.
Proceedings of the American Control Conference, 2010
Proceedings of the American Control Conference, 2010
2009
An instrumental variable technique for open-loop and closed-loop identification of input-output LPV models.
Proceedings of the 10th European Control Conference, 2009
Proceedings of the 10th European Control Conference, 2009
LPV modelling and control of a 2-DOF robotic manipulator using PCA-based parameter set mapping.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
A neural-network based technique for modelling and LPV control of an arm-driven inverted pendulum.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008