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2020 – today
- 2024
[j29]Ajay Suresha Sathya
, Herman Bruyninckx, Wilm Decré, Goele Pipeleers:
Efficient Constrained Dynamics Algorithms Based on an Equivalent LQR Formulation Using Gauss' Principle of Least Constraint. IEEE Trans. Robotics 40: 729-749 (2024)- 2023
- [c70]Ruan Viljoen, Johan Ubbink, Goele Pipeleers, Wilm Decré, Erwin Aertbeliën, Joris De Schutter:
Enhancing Constraint-Based Robot Task Specification with Dual Controller and Estimator Synthesis. CASE 2023: 1-8 - [i1]Ajay Suresha Sathya, Herman Bruyninckx, Wilm Decré, Goele Pipeleers:
Efficient Constrained Dynamics Algorithms based on an Equivalent LQR Formulation using Gauss' Principle of Least Constraint. CoRR abs/2310.00688 (2023) - 2022
- [j28]Alejandro Astudillo, Joris Gillis, Moritz Diehl, Wilm Decré, Goele Pipeleers, Jan Swevers:
Position and Orientation Tunnel-Following NMPC of Robot Manipulators Based on Symbolic Linearization in Sequential Convex Quadratic Programming. IEEE Robotics Autom. Lett. 7(2): 2867-2874 (2022) - [c69]David Kiessling, Andrea Zanelli, Armin Nurkanovic, Joris Gillis, Moritz Diehl, Melanie N. Zeilinger, Goele Pipeleers, Jan Swevers:
A Feasible Sequential Linear Programming Algorithm with Application to Time-Optimal Path Planning Problems. CDC 2022: 1196-1203 - [c68]Ajay Suresha Sathya, Wilm Decré, Goele Pipeleers, Jan Swevers:
A Simple Formulation for Fast Prioritized Optimal Control of Robots using Weighted Exact Penalty Functions. ICRA 2022: 5262-5269 - [c67]Ajay Suresha Sathya, Alejandro Astudillo, Joris Gillis, Wilm Decré, Goele Pipeleers, Jan Swevers:
Tasho: A Python Toolbox for Rapid Prototyping and Deployment of Optimal Control Problem-Based Complex Robot Motion Skills. IROS 2022: 9700-9707 - [d1]Alejandro Astudillo, Joris Gillis, Moritz Diehl, Wilm Decré, Goele Pipeleers, Jan Swevers:
Example of the implementation of the SCQP method using the lin operator. IEEE DataPort, 2022
- 2021
- [j27]Ben Hermans, Goele Pipeleers, Panagiotis Patrinos:
A penalty method for nonlinear programs with set exclusion constraints. Autom. 127: 109500 (2021) - [j26]Ajay Suresha Sathya, Goele Pipeleers, Wilm Decré, Jan Swevers:
A Weighted Method for Fast Resolution of Strictly Hierarchical Robot Task Specifications Using Exact Penalty Functions. IEEE Robotics Autom. Lett. 6(2): 3057-3064 (2021) - [c66]Daniele Ronzani, Joris Gillis, Goele Pipeleers, Jan Swevers:
ECOset-ILC: an Iterative Learning Control Approach with Set-membership Uncertainty. AMC 2021: 68-75 - [c65]Dries Dirckx, Joris Gillis, Jan Swevers, Wilm Decré, Goele Pipeleers:
A Smooth Reformulation of Collision Avoidance Constraints in Trajectory Planning. AMC 2021: 132-137 - [c64]Alejandro Astudillo, Joris Gillis, Goele Pipeleers, Wilm Decré, Jan Swevers:
Speed-Up of Nonlinear Model Predictive Control for Robot Manipulators Using Task and Data Parallelism. AMC 2021: 201-206 - [c63]Mathias Bos, Wilm Decré, Jan Swevers, Goele Pipeleers:
Multi-stage Optimal Control Problem Formulation for Drone Racing Through Gates and Tunnels. AMC 2021: 376-382 - [c62]Laurens Jacobs, Wilm Decré, Jan Swevers, Goele Pipeleers:
Development of a flexible link setup for an advanced linear control theory course. AMC 2021: 383-388 - [c61]Bastiaan Vandewal, Joris Gillis, Goele Pipeleers, Jan Swevers:
Simplified Wheel Slip Modeling and Estimation for Omnidirectional Vehicles. AMC 2021: 389-395 - 2020
- [j25]Massimo De Mauri, Joris Gillis, Jan Swevers, Goele Pipeleers:
A proximal-point outer approximation algorithm. Comput. Optim. Appl. 77(3): 755-777 (2020) - [j24]Deesh Dileep, Ruben Van Parys, Goele Pipeleers, Laurentiu Hetel, Jean-Pierre Richard, Wim Michiels:
Design of robust decentralised controllers for MIMO plants with delays through network structure exploitation. Int. J. Control 93(10): 2275-2289 (2020) - [c60]Bastiaan Vandewal, Joris Gillis, Erwin Rademakers, Goele Pipeleers, Jan Swevers:
Obstacle Avoidance in Path Following using Local Spline Relaxation. AMC 2020: 85-90 - [c59]Massimo De Mauri, Joris Gillis, Goele Pipeleers, Jan Swevers:
Real-Time Model Predictive Control for a Parallel Hybrid Electric Vehicle using Outer Approximation and Semi-Convex Cut Generation**This work has been carried out within the framework of KU Leuven - BOF PFV/10/002 Centre of Excellence: Optimization in Engineering (OPTEC) and DrivetrainCodesign: Flanders Make ICON: Physical and control co-design of electromechanical drivetrains for machines and vehicles. Flanders Make is the Flemish strategic research centre for the manufacturing industry. AMC 2020: 198-203 - [c58]Ajay Suresha Sathya, Joris Gillis, Goele Pipeleers, Jan Swevers:
Real-time Robot Arm Motion Planning and Control with Nonlinear Model Predictive Control using Augmented Lagrangian on a First-Order Solver. ECC 2020: 507-512 - [c57]Massimo De Mauri, Wim Van Roy, Joris Gillis, Jan Swevers, Goele Pipeleers:
Real Time Iterations for Mixed-Integer Model Predictive Control. ECC 2020: 699-705
2010 – 2019
- 2019
- [j23]Niels van Duijkeren, Timm Faulwasser, Goele Pipeleers:
Dual-Objective NMPC: Considering Economic Costs Near Manifolds. IEEE Trans. Autom. Control. 64(9): 3788-3795 (2019) - [j22]Tim Mercy, Nicolas Jacquod, Raoul Herzog, Goele Pipeleers:
Spline-Based Trajectory Generation for CNC Machines. IEEE Trans. Ind. Electron. 66(8): 6098-6107 (2019) - [c56]Taranjitsingh Singh, ZhongZhe Dong, Massimo De Mauri, Wilm Decré, Jan Swevers, Goele Pipeleers:
Combined H∞ linear parameter varying control design and optimal sensor/actuator selection. ECC 2019: 3310-3315 - [c55]Andreas De Preter, Glenn Goysens, Jan Anthonis, Jan Swevers, Goele Pipeleers:
Range Bias Modeling and Autocalibration of an UWB Positioning System. IPIN 2019: 1-8 - 2018
- [j21]Tim Mercy, Ruben Van Parys, Goele Pipeleers:
Spline-Based Motion Planning for Autonomous Guided Vehicles in a Dynamic Environment. IEEE Trans. Control. Syst. Technol. 26(6): 2182-2189 (2018) - [c54]Laurens Jacobs, Maarten Verbandt, Andreas De Preter, Jan Anthonis, Jan Swevers, Goele Pipeleers:
A toolbox for robust control design: An illustrative case study. AMC 2018: 29-34 - [c53]Tim Mercy, Erik Hostens, Goele Pipeleers:
Online motion planning for autonomous vehicles in vast environments. AMC 2018: 114-119 - [c52]Taranjitsingh Singh, Jan Swevers, Goele Pipeleers:
Concurrent H2/H∞feedback control design with optimal sensor and actuator selection. AMC 2018: 223-228 - [c51]Ruben Van Parys, Maarten Verbandt, Marcus Kotzé, Jan Swevers, Herman Bruyninckx, Johan Philips, Goele Pipeleers:
Flexible Multi-Agent System for Distributed Coordination, Transportation & Localisation. AAMAS 2018: 1832-1834 - [c50]Ruben Van Parys, Goele Pipeleers:
Real-time proximal gradient method for linear MPC. ECC 2018: 1142-1147 - [c49]Sampath Kumar Mulagaleti, Ruben Van Parys, Goele Pipeleers:
Distributed model predictive control of multiple vehicles transporting a flexible payload∗. ECC 2018: 1417-1422 - [c48]Ajay Sathya, Pantelis Sopasakis, Ruben Van Parys, Andreas Themelis, Goele Pipeleers, Panagiotis Patrinos:
Embedded nonlinear model predictive control for obstacle avoidance using PANOC. ECC 2018: 1523-1528 - [c47]Gustavo S. Mazzoccante, Gijs Hilhorst, Goele Pipeleers, Ricardo C. L. F. Oliveira:
H∞ Model Order Reduction of Uncertain Linear Systems Using generalized KYP Lemma. ECC 2018: 2616-2622 - [c46]Ruben Van Parys, Maarten Verbandt, Marcus Kotzé, Peter Coppens, Jan Swevers, Herman Bruyninckx, Johan Philips, Goele Pipeleers:
Distributed Coordination, Transportation & Localisation in Industry 4.0. IPIN 2018: 1-8 - 2017
- [j20]Tong Duy Son, Goele Pipeleers, Jan Swevers:
Multi-objective iterative learning control using convex optimization. Eur. J. Control 33: 35-42 (2017) - [j19]Ruben Van Parys, Goele Pipeleers:
Distributed MPC for multi-vehicle systems moving in formation. Robotics Auton. Syst. 97: 144-152 (2017) - [c45]Ruben Van Parys, Goele Pipeleers:
Distributed model predictive formation control with inter-vehicle collision avoidance. ASCC 2017: 2399-2404 - [c44]Niels van Duijkeren, Timm Faulwasser, Goele Pipeleers:
NMPC with economic objectives on target manifolds. CDC 2017: 2519-2524 - [c43]Tong Duy Son, Goele Pipeleers, Jan Swevers, Herman Van der Auweraer:
A generalized frequency domain learning control design with experimental validation. IECON 2017: 4003-4008 - 2016
- [j18]Tong Duy Son, Goele Pipeleers, Jan Swevers:
Robust Monotonic Convergent Iterative Learning Control. IEEE Trans. Autom. Control. 61(4): 1063-1068 (2016) - [j17]Gijs Hilhorst, Goele Pipeleers, Wim Michiels, Ricardo C. L. F. Oliveira, Pedro L. D. Peres, Jan Swevers:
Fixed-Order Linear Parameter-Varying Feedback Control of a Lab-Scale Overhead Crane. IEEE Trans. Control. Syst. Technol. 24(5): 1899-1907 (2016) - [c42]Gijs Hilhorst, Erik Lambrechts, Goele Pipeleers:
Control of linear parameter-varying systems using B-splines. CDC 2016: 3246-3251 - [c41]Wannes Van Loock, Erik Lambrechts, Gijs Hilhorst, Goele Pipeleers:
Approximate parametric cone programming with applications in control. ECC 2016: 178-183 - [c40]Niels van Duijkeren, Robin Verschueren, Goele Pipeleers, Moritz Diehl, Jan Swevers:
Path-following NMPC for serial-link robot manipulators using a path-parametric system reformulation. ECC 2016: 477-482 - [c39]Ruben Van Parys, Goele Pipeleers:
Online distributed motion planning for multi-vehicle systems. ECC 2016: 1580-1585 - [c38]Tim Mercy, Wannes Van Loock, Goele Pipeleers:
Real-time motion planning in the presence of moving obstacles. ECC 2016: 1586-1591 - [c37]Sikandar Moten, Goele Pipeleers, Jan Swevers:
A new gradient based approach for concurrent optimal plant and controller design. ECC 2016: 1604-1609 - [c36]Maarten Verbandt, Jan Swevers, Goele Pipeleers:
An LTI control toolbox - Simplifying optimal feedback controller design. ECC 2016: 2005-2010 - [c35]Tong Duy Son, Armin Steinhauser, Goele Pipeleers, Jan Swevers:
Robust performance iterative learning control : Analysis, synthesis and experimental validation. ECC 2016: 2316-2321 - [c34]Dora Turk, Joris Gillis, Goele Pipeleers, Jan Swevers:
Experimental validation of a combined global and local LPV system identification approach with ℓ2, 1-norm regularization. IECON 2016: 553-558 - [c33]Masato Kanematsu, Gijs Hilhorst, Hiroshi Fujimoto, Goele Pipeleers:
B-spline parametrized solution of robust PID control using the generalized KYP lemma. IECON 2016: 5070-5075 - 2015
- [j16]Gijs Hilhorst, Goele Pipeleers, Wim Michiels, Jan Swevers:
Sufficient LMI conditions for reduced-order multi-objective H2/H∞ control of LTI systems. Eur. J. Control 23: 17-25 (2015) - [j15]Pieter Janssens, Wannes Van Loock, Goele Pipeleers, Jan Swevers:
Efficient Computation of Time-Optimal Point-to-Point Motion Trajectories. IEEE Trans. Control. Syst. Technol. 23(2): 679-686 (2015) - [c32]Gijs Hilhorst, Goele Pipeleers, Wim Michiels, Ricardo C. L. F. Oliveira, Pedro Luis Dias Peres, Jan Swevers:
Reduced-order ℋ2/ℋ∞ control of discrete-time LPV systems with experimental validation on an overhead crane test setup. ACC 2015: 125-130 - [c31]Wannes Van Loock, Goele Pipeleers, Jan Swevers:
Optimal motion planning for differentially flat systems with guaranteed constraint satisfaction. ACC 2015: 4245-4250 - [c30]Frederik Debrouwere, Goele Pipeleers, Jan Swevers:
A sequential log barrier method for solving convex-concave problems with applications in robotics. ACC 2015: 4804-4809 - [c29]Tong Duy Son, Goele Pipeleers, Jan Swevers:
Robust analysis and synthesis with unstructured model uncertainty in lifted system iterative learning control. ACC 2015: 4892-4897 - [c28]Sikandar Moten, Goele Pipeleers, Wim Desmet, Jan Swevers:
A combined use of the adaptive inverse plant modeling and iterative learning control strategy for service load simulations. AuCC 2015: 277-282 - [c27]Gijs Hilhorst, Goele Pipeleers, Wim Michiels, Ricardo C. L. F. Oliveira, Pedro L. D. Peres, Jan Swevers:
An iterative convex approach for fixed-order robust ℋ2/ℋ∞ control of discrete-time linear systems with parametric uncertainty. CDC 2015: 6880-6885 - 2014
- [j14]Goele Pipeleers, Tetsuya Iwasaki, Shinji Hara:
Generalizing the KYP Lemma to Multiple Frequency Intervals. SIAM J. Control. Optim. 52(6): 3618-3638 (2014) - [j13]Goele Pipeleers, Kevin L. Moore:
Unified Analysis of Iterative Learning and Repetitive Controllers in Trial Domain. IEEE Trans. Autom. Control. 59(4): 953-965 (2014) - [j12]Pieter Janssens, Goele Pipeleers, Moritz Diehl, Jan Swevers:
Energy-Optimal Time Allocation of a Series of Point-to-Point Motions. IEEE Trans. Control. Syst. Technol. 22(6): 2432-2435 (2014) - [j11]Keivan Zavari, Goele Pipeleers, Jan Swevers:
Gain-Scheduled Controller Design: Illustration on an Overhead Crane. IEEE Trans. Ind. Electron. 61(7): 3713-3718 (2014) - [j10]Wannes Van Loock, Goele Pipeleers, Moritz Diehl, Joris De Schutter, Jan Swevers:
Optimal Path Following for Differentially Flat Robotic Systems Through a Geometric Problem Formulation. IEEE Trans. Robotics 30(4): 980-985 (2014) - [c26]Frederik Debrouwere, Wannes Van Loock, Goele Pipeleers, Jan Swevers:
Time-optimal tube following for robotic manipulators. AMC 2014: 392-397 - 2013
- [j9]Frederik Debrouwere, Wannes Van Loock, Goele Pipeleers, Moritz Diehl, Jan Swevers, Joris De Schutter:
Convex time-optimal robot path following with Cartesian acceleration and inertial force and torque constraints. J. Syst. Control. Eng. 227(10): 724-732 (2013) - [j8]Pieter Janssens, Goele Pipeleers, Jan Swevers:
A Data-Driven Constrained Norm-Optimal Iterative Learning Control Framework for LTI Systems. IEEE Trans. Control. Syst. Technol. 21(2): 546-551 (2013) - [j7]Frederik Debrouwere, Wannes Van Loock, Goele Pipeleers, Dinh Quoc Tran, Moritz Diehl, Joris De Schutter, Jan Swevers:
Time-Optimal Path Following for Robots With Convex-Concave Constraints Using Sequential Convex Programming. IEEE Trans. Robotics 29(6): 1485-1495 (2013) - [c25]Gijs Hilhorst, Goele Pipeleers, Jan Swevers:
An LMI approach for reduced-order ℋ2 LTI controller synthesis. ACC 2013: 2392-2396 - [c24]Gijs Hilhorst, Goele Pipeleers, Jan Swevers:
Reduced-order multi-objective ℋ∞ control of an overhead crane test setup. CDC 2013: 770-775 - [c23]Pieter Janssens, Wannes Van Loock, Goele Pipeleers, Frederik Debrouwere, Jan Swevers:
Iterative learning control for optimal path following problems. CDC 2013: 6670-6675 - [c22]Tong Duy Son, Goele Pipeleers, Jan Swevers:
Robust optimal iterative learning control with model uncertainty. CDC 2013: 7522-7527 - [c21]Tong Duy Son, Goele Pipeleers, Jan Swevers:
Optimal iterative learning control design with trial-varying initial conditions. ECC 2013: 1181-1186 - [c20]Wannes Van Loock, Goele Pipeleers, Jan Swevers:
Time-optimal quadrotor flight. ECC 2013: 1788-1792 - [c19]Goele Pipeleers, Tetsuya Iwasaki, Shinji Hara:
Generalizing the KYP lemma to the union of intervals. ECC 2013: 3913-3918 - [c18]Frederik Debrouwere, Wannes Van Loock, Goele Pipeleers, Dinh Quoc Tran, Moritz Diehl, Joris De Schutter, Jan Swevers:
Optimal robot path following for minimal time versus energy loss trade-off using sequential convex programming. ICM 2013: 316-320 - [c17]Pieter Janssens, Wannes Van Loock, Goele Pipeleers, Jan Swevers:
An efficient algorithm for solving time-optimal point-to-point motion control problems. ICM 2013: 682-687 - [c16]Wannes Van Loock, Steven Bellens, Goele Pipeleers, Joris De Schutter, Jan Swevers:
Time-optimal parking and flying: Solving path following problems efficiently. ICM 2013: 841-846 - [c15]Frederik Debrouwere, Wannes Van Loock, Goele Pipeleers, Dinh Quoc Tran, Moritz Diehl, Joris De Schutter, Jan Swevers:
Time-optimal path following for robots with trajectory jerk constraints using sequential convex programming. ICRA 2013: 1916-1921 - [c14]Frederik Debrouwere, Wannes Van Loock, Goele Pipeleers, Moritz Diehl, Joris De Schutter, Jan Swevers:
Time-optimal path following for robots with object collision avoidance using lagrangian duality. RoMoCo 2013: 186-191 - [c13]Wannes Van Loock, Goele Pipeleers, Jan Swevers:
Time-optimal path planning for flat systems with application to a wheeled mobile robot. RoMoCo 2013: 192-196 - 2012
- [j6]Goele Pipeleers, Kevin L. Moore:
Reduced-Order Iterative Learning Control and a Design Strategy for Optimal Performance Tradeoffs. IEEE Trans. Autom. Control. 57(9): 2390-2395 (2012) - [c12]Keivan Zavari, Goele Pipeleers, Jan Swevers:
Multi-ℌ∞ controller design and illustration on an overhead crane. CCA 2012: 670-674 - [c11]Keivan Zavari, Goele Pipeleers, Jan Swevers:
Interpolated gain-scheduled controllers for an over-head crane. AMC 2012: 1-6 - [c10]Pieter Janssens, Goele Pipeleers, Jan Swevers:
Initialization of ILC based on a previously learned trajectory. ACC 2012: 610-614 - 2011
- [j5]Goele Pipeleers, Lieven Vandenberghe:
Generalized KYP Lemma With Real Data. IEEE Trans. Autom. Control. 56(12): 2942-2946 (2011) - [c9]Wannes Van Loock, Goele Pipeleers, Jan Swevers:
Optimal input design for flat systems using B-splines. ACC 2011: 3281-3282 - [c8]Goele Pipeleers, Kevin L. Moore:
Reduced-order ILC: The Internal Model Principle reconsidered. ACC 2011: 3639-3644 - [c7]Keivan Zavari, Hamid Khatibi, Vahid Johari Majd, Goele Pipeleers, Jan Swevers:
Fixed-order robust controller design with time-domain constraints. ACC 2011: 3698-3703 - [c6]Pieter Janssens, Goele Pipeleers, Jan Swevers:
Model-free iterative learning control for LTI systems and experimental validation on a linear motor test setup. ACC 2011: 4287-4292 - [c5]Pieter Janssens, Goele Pipeleers, Jan Swevers:
Model-free iterative learning of time-optimal point-to-point motions for LTI systems. CDC/ECC 2011: 6031-6036 - 2010
- [j4]Goele Pipeleers, Jan Swevers:
Optimal feedforward controller design for periodic inputs. Int. J. Control 83(5): 1044-1053 (2010) - [c4]Jan Swevers, Goele Pipeleers, Moritz Diehl, Joris De Schutter:
Pushing motion control systems to their limits using convex optimization techniques. AMC 2010: 807-814
2000 – 2009
- 2009
- [j3]Goele Pipeleers, Bram Demeulenaere, Jan Swevers, Lieven Vandenberghe:
Extended LMI characterizations for stability and performance of linear systems. Syst. Control. Lett. 58(7): 510-518 (2009) - [j2]Goele Pipeleers, Bram Demeulenaere, Farid Al-Bender, Joris De Schutter, Jan Swevers:
Optimal Performance Tradeoffs in Repetitive Control: Experimental Validation on an Active Air Bearing Setup. IEEE Trans. Control. Syst. Technol. 17(4): 970-979 (2009) - [c3]Goele Pipeleers, Bram Demeulenaere, Farid Al-Bender, Joris De Schutter, Jan Swevers:
Optimal performance trade-offs in repetitive control: Experimental validation on an active air bearing setup. ACC 2009: 1616-1621 - 2008
- [j1]Goele Pipeleers, Bram Demeulenaere, Joris De Schutter, Jan Swevers:
Robust high-order repetitive control: Optimal performance trade-offs. Autom. 44(10): 2628-2634 (2008) - [c2]Goele Pipeleers, Bram Demeulenaere, Joris De Schutter, Jan Swevers:
Robust high-order repetitive control. ACC 2008: 1080-1085 - 2007
- [c1]Goele Pipeleers, Bram Demeulenaere, Joris De Schutter, Jan Swevers:
Design of Robust Optimal Feedforward Controllers for Periodic Disturbances. ACC 2007: 5333-5340
Coauthor Index
[j28] [c69] [c68] [c67] [d1] [j26] [c66] [c65] [c64] [c63] [c62] [c61] [j25] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c52] [c51] [c46] [j20] [c43] [j18] [j17] [c40] [c37] [c36] [c35] [c34] [j16] [j15] [c32] [c31] [c30] [c29] [c28] [c27] [j12] [j11] [j10] [c26] [j9] [j8] [j7] [c25] [c24] [c23] [c22] [c21] [c20] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c7] [c6] [c5] [j4] [c4] [j3] [j2] [c3] [j1] [c2] [c1]
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