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titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accelerating Nonlinear Model Predictive Control by Constraint Removal ⁎ ⁎ This work was supported by the German Federal Ministry for Economic Affairs and Energy under grant 0324125C.
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Dyrska, R.
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54 |
6 |
p. 278-283
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artikel
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| 2 |
Accuracy-awareness: A pessimistic approach to optimal control of triggered mobile communication networks ⁎ ⁎ The support of the EPSRC Centre for Doctoral Training in High Performance Embedded and Distributed Systems (HiPEDS, Grant Reference EP/L016796/1) is gratefully acknowledged. D. Gu¨ndu¨z acknowledges funding from the European Research Council through project BEACON (Grant no. 677854).
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Faqir, Omar J.
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54 |
6 |
p. 296-301
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artikel
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| 3 |
A dissipativity–based framework for analyzing stability of predictive controllers
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Lazar, Mircea
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54 |
6 |
p. 159-165
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artikel
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| 4 |
A Distributed Second-Order Augmented Lagrangian Method for Distributed Model Predictive Control
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Ahmadi, Shervin Parvini
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54 |
6 |
p. 192-199
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artikel
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| 5 |
Advanced Coolant Temperature Control Study With Integrated Thermal Management System Valve
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Pimpinella, L.
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54 |
6 |
p. 200-205
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artikel
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| 6 |
Anytime MHE-based output feedback MPC ⁎ ⁎ This work was supported by the Deutsche Forschungsgemeinschaft (Grant EB 425/6-1).
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Gharbi, Meriem
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54 |
6 |
p. 264-271
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artikel
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| 7 |
Aperiodic Communication for MPC in Autonomous Cooperative Landing ⁎ ⁎ This work was supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the Swedish Research Council, Knut and Alice Wallenberg Foundation (KAW).
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Lapandić, Dženan
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54 |
6 |
p. 113-118
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artikel
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| 8 |
Constrained reference learning for continuous-time model predictive tracking control of autonomous systems
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Matschek, Janine
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54 |
6 |
p. 329-334
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artikel
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| 9 |
Constraint-adaptive MPC for large-scale systems: Satisfying state constraints without imposing them
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Nouwens, S.A.N.
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54 |
6 |
p. 232-237
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artikel
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| 10 |
Contents
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54 |
6 |
p. i-vii
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artikel
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| 11 |
Continuous-Time Approximated Parametric Output-Feedback Nonlinear Model Predictive Control
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Kallies, Christian
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54 |
6 |
p. 251-256
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artikel
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| 12 |
Controllability and Observability Imply Exponential Decay of Sensitivity in Dynamic Optimization
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Shin, Sungho
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54 |
6 |
p. 179-184
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artikel
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| 13 |
Control of Fixed-Wing UAV Attitude and Speed based on Embedded Nonlinear Model Predictive Control
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Reinhardt, Dirk
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54 |
6 |
p. 91-98
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artikel
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| 14 |
Data-driven Nonlinear MPC using Dynamic Response Surface Methodology
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Pelagagge, Federico
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54 |
6 |
p. 272-277
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artikel
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| 15 |
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings
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Drgoňa, Ján
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54 |
6 |
p. 14-19
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artikel
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| 16 |
Does the effort of Monte Carlo pay off? A case study on stochastic MPC
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Baumann, Michael Heinrich
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54 |
6 |
p. 70-75
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artikel
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| 17 |
Embedded Real-Time Nonlinear Model Predictive Control for the Thermal Torque Derating of an Electric Vehicle
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Winkler, Alexander
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54 |
6 |
p. 359-364
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artikel
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| 18 |
Exact solution to a special class of nonlinear MPC problems
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Darup, Moritz Schulze
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54 |
6 |
p. 290-295
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artikel
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| 19 |
Feedback-Optimizing Model Predictive Control for Constrained Linear Systems
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Asuk, Amba
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54 |
6 |
p. 43-49
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artikel
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| 20 |
First Results on Turnpike Bounds for Stabilizing Horizons in NMPC
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Pan, Guanru
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54 |
6 |
p. 153-158
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artikel
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| 21 |
Mixed-integer optimization-based planning for autonomous racing with obstacles and rewards ⁎ ⁎ The work was financially supported by the Austrian funding program “Mobilitat der Zukunft”, the German Federal Ministry for Economic Affairs and Energy (BMWi) via DyConPV (0324166B), the project NewControl (GA Nr. 826653-2), supported by ECSEL JU, Horizon2020 and the Austrian funding authority FFG, and by the COMET K2 Competence Centers for Excellent Technologies Program.
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Reiter, Rudolf
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54 |
6 |
p. 99-106
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artikel
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| 22 |
Modeling and temperature control of a moving substrate
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Weiss, Ruven
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54 |
6 |
p. 212-217
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artikel
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| 23 |
Model Predictive Control for a Mecanum-wheeled Robot Navigating among Obstacles ⁎ ⁎ Work partially funded by the Spanish Ministry of Science, Innovation, and Universities under project DPI2017-88282-P.
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Moreno-Caireta, Iñigo
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54 |
6 |
p. 119-125
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artikel
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| 24 |
Model Predictive Control of engine intake manifold pressure with an uncertain model ⁎ ⁎ This work took place in the framework of the OpenLab ”Electronics and Systems for Automotive” combining IMS laboratory and Stellantis company
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Shulga, Evgeny
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54 |
6 |
p. 335-340
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artikel
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| 25 |
Model Predictive Control of the Vertical Gradient Freeze Crystal Growth Process
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Ecklebe, Stefan
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54 |
6 |
p. 218-225
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artikel
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| 26 |
Motion Cueing Control Design Based On A Nonlinear Mpc Algorithm
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Soyer, Martin
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54 |
6 |
p. 341-346
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artikel
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| 27 |
MPC for heating systems with minimum up-and down-time requirements
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Löhr, Yannik
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54 |
6 |
p. 206-211
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artikel
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| 28 |
NMPC Through qLPV Embedding: A Tutorial Review of Different Approaches ⁎ ⁎ This work has been supported by CNPq (304032/2019 — 0), CAPES (001) and ITEA3 European project (15016) EMPHYSIS.
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Morato, Marcelo M.
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54 |
6 |
p. 302-307
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artikel
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| 29 |
Nonlinear Model Predictive Control for a Simulated Reconfigurable Battery Pack
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Mondoha, Abouzede
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54 |
6 |
p. 353-358
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artikel
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| 30 |
Nonlinear Model Predictive Control of BLDC Motor with State Estimation
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Ubare, Pramod
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54 |
6 |
p. 107-112
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artikel
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| 31 |
Offset-free Nonlinear Model Predictive Control by the Example of Maglev Vehicles
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Schmid, Patrick
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54 |
6 |
p. 83-90
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artikel
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| 32 |
On MPC without terminal conditions for dynamic non-holonomic robots
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Rußwurm, Franz
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54 |
6 |
p. 133-138
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artikel
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| 33 |
On the design of terminal ingredients for data-driven MPC
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Berberich, Julian
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54 |
6 |
p. 257-263
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artikel
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| 34 |
Output-Lifted Learning Model Predictive Control
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Nair, Siddharth H.
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54 |
6 |
p. 365-370
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artikel
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| 35 |
Predictive control co-design for enhancing flexibility in residential housing with battery degradation ⁎ ⁎ This work was supported by the EPSRC under the grant EP/V012053/1.
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Falugi, P.
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54 |
6 |
p. 8-13
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artikel
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| 36 |
Pre-stabilised Predictive Functional Control for Open-loop Unstable Dynamic Systems
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Aftab, Muhammad Saleheen
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54 |
6 |
p. 147-152
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artikel
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| 37 |
Reducing the computational effort of min-max model predictive control with regional feedback laws ⁎ ⁎ Support by the Deutsche Forschungsgemeinschaft (DFG) under grant MO 1086/15-1 is gratefully acknowledged.
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König, Kai
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54 |
6 |
p. 58-63
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artikel
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| 38 |
Reinforcement Learning of the Prediction Horizon in Model Predictive Control
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Bøhn, Eivind
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54 |
6 |
p. 314-320
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artikel
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| 39 |
Restricted Structure Polynomial Systems Approach to LPV Generalized Predictive Control
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Grimble, M.
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54 |
6 |
p. 36-42
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artikel
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| 40 |
Riccati Recursion for Optimal Control Problems of Nonlinear Switched Systems
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Katayama, S.
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54 |
6 |
p. 172-178
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artikel
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| 41 |
Robust Control Theory Based Stability Certificates for Neural Network Approximated Nonlinear Model Predictive Control
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Nguyen, Hoang Hai
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54 |
6 |
p. 347-352
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artikel
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| 42 |
Robust MPC for networks with varying communication capabilities
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Kögel, Markus
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54 |
6 |
p. 20-27
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artikel
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| 43 |
Robustness of Model Predictive Control to (Large) Discrete Disturbances ⁎ ⁎ The authors gratefully acknowledge the financial support of the NSF through grant 2027091.
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McAllister, Robert D.
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54 |
6 |
p. 64-69
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artikel
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| 44 |
Robust Stability of Suboptimal Moving Horizon Estimation using an Observer-Based Candidate Solution
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Schiller, Julian D.
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54 |
6 |
p. 226-231
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artikel
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| 45 |
Stability and performance in MPC using a finite-tail cost ⁎ ⁎ The authors thank the German Research Foundation (DFG) for support of this work within Soft Tissue Robotics (GRK 2198/1).
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Köhler, Johannes
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54 |
6 |
p. 166-171
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artikel
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| 46 |
Stabilizing a multicopter using an NMPC design with a relaxed terminal region
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Nguyen, Ngoc Thinh
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54 |
6 |
p. 126-132
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artikel
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| 47 |
State and parameter estimation for model-based retinal laser treatment ⁎ ⁎ The collaborative project ”Temperature controlled retinal laser treatment” is funded by the German Research Foundation (DFG) under the project number 430154635 (MU 3929/3-1, WO 2056/7-1, BR 1349/6-1). MS was also funded by the DFG (grant WO 2056/2-1, project number 289034702). KW gratefully acknowledges funding by the German Research Foundation (DFG; grant WO 2056/6-1, project number 406141926).
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Kleyman, Viktoria
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54 |
6 |
p. 244-250
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artikel
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| 48 |
Streamlining Active Set Method in MPC using Cache Memory
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Fedorová, K.
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54 |
6 |
p. 185-191
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artikel
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| 49 |
Teaching MPC: Which Way to the Promised Land?
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Faulwasser, Timm
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54 |
6 |
p. 238-243
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artikel
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| 50 |
Towards a Framework for Nonlinear Predictive Control using Derivative-Free Optimization ⁎
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McInerney, Ian
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54 |
6 |
p. 284-289
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artikel
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| 51 |
Towards Necessary and Sufficient Stability Conditions for NMPC
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Faulwasser, Timm
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54 |
6 |
p. 139-146
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artikel
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| 52 |
Towards Risk-aware Machine Learning Supported Model Predictive Control and Open-loop Optimization for Repetitive Processes
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Morabito, Bruno
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54 |
6 |
p. 321-328
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artikel
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| 53 |
Transient Performance of Tube-based Robust Economic Model Predictive Control ⁎ ⁎ This work was supported by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Grants AL 316/12-2 and MU 3929/1-2 - 279734922. The authors thank the International Max Planck Research School for Intelligent Systems (IMPRS-IS) for supporting Lukas Schwenkel.
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Klöppelt, Christian
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54 |
6 |
p. 28-35
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artikel
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| 54 |
Uncertainty Propagation by Linear Regression Kalman Filters for Stochastic NMPC
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Quirynen, Rien
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54 |
6 |
p. 76-82
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artikel
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| 55 |
Verification of Dissipativity and Evaluation of Storage Function in Economic Nonlinear MPC using Q-Learning
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Kordabad, Arash Bahari
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54 |
6 |
p. 308-313
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artikel
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| 56 |
Virtual Storage Plant Aggregating Electrical Energy Storages and HVAC Systems Providing Regulating Reserve and Voltage Regulation ⁎ ⁎ This work is supported by the EC H2020 project: CROSS BOr-der management of variable renewable energies and storage units enabling a transnational Wholesale market (CR0SSBOW).
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Wang, Xiao
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54 |
6 |
p. 1-7
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artikel
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| 57 |
Zero-Order Robust Nonlinear Model Predictive Control with Ellipsoidal Uncertainty Sets
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Zanelli, Andrea
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54 |
6 |
p. 50-57
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artikel
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