| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Combined Multi-stage and Tube-based MPC Scheme for Constrained Linear Systems ⁎ ⁎ The research leading to the results has received funding from the European Commission under grant agreement number 291458 (MOBOCON).
|
Subramanian, Sankaranarayanan
|
|
2018
|
51 |
20 |
p. 481-486
|
artikel
|
| 2 |
Adaptive Horizon Model Predictive Regulation ⁎ ⁎ This work was supported in part by the AFOSR
|
Krener, Arthur J.
|
|
2018
|
51 |
20 |
p. 54-59
|
artikel
|
| 3 |
Adaptive Model Predictive Control for Nonlinearity in Biomedical Applications
|
Hajizadeh, Iman
|
|
2018
|
51 |
20 |
p. 368-373
|
artikel
|
| 4 |
Addressing infinite-horizon optimization in MPC via Q-learning
|
Beckenbach, Lukas
|
|
2018
|
51 |
20 |
p. 60-65
|
artikel
|
| 5 |
A deep learning-based approach to robust nonlinear model predictive control
|
Lucia, Sergio
|
|
2018
|
51 |
20 |
p. 511-516
|
artikel
|
| 6 |
Advanced-step Multistage Nonlinear Model Predictive Control
|
Yu, Zhou Joyce
|
|
2018
|
51 |
20 |
p. 122-127
|
artikel
|
| 7 |
A Fast NMPC Approach based on Bounded-Variable Nonlinear Least Squares
|
Saraf, Nilay
|
|
2018
|
51 |
20 |
p. 337-342
|
artikel
|
| 8 |
A Fixed-Point Iteration Scheme for Model Predictive Torque Control of PMSMs
|
Englert, Tobias
|
|
2018
|
51 |
20 |
p. 568-573
|
artikel
|
| 9 |
A Highly Parallelizable Newton-type Method for Nonlinear Model Predictive Control ⁎ ⁎ This work was partly supported by JSPS KAKENHI Grant Number 15H02257.
|
Deng, Haoyang
|
|
2018
|
51 |
20 |
p. 349-355
|
artikel
|
| 10 |
A Model Predictive Control Framework for Hybrid Dynamical Systems ⁎ ⁎ This research has been partially supported by the National Science Foundation under CAREER Grant no. ECS-1450484, Grant no. ECS-1710621, and Grant no. CNS-1544396, by the Air Force Office of Scientific Research under Grant no. FA9550-16-1-0015, by the Air Force Research Laboratory under Grant no. FA9453-16-1-0053, and by CITRIS and the Banatao Institute at the University of California.
|
Altın, Berk
|
|
2018
|
51 |
20 |
p. 128-133
|
artikel
|
| 11 |
A Model Predictive Wind Farm Controller with Linear Parameter-Varying Models ⁎ ⁎ These authors were supported by the Uncertainty Reduction in Smart Energy Systems (URSES) research program funded by the Dutch organization for scientific research (NWO) and Shell under the project Aquifer Thermal Energy Storage Smart Grids (ATES-SG) with grant number 408-13-030.
|
Boersma, Sjoerd
|
|
2018
|
51 |
20 |
p. 241-246
|
artikel
|
| 12 |
An Alternating Direction Method of Multipliers Algorithm for Symmetric MPC
|
Danielson, Claus
|
|
2018
|
51 |
20 |
p. 319-324
|
artikel
|
| 13 |
A New Lagrange-Newton-Krylov Solver for PDE-constrained Nonlinear Model Predictive Control
|
Christiansen, Lasse Hjuler
|
|
2018
|
51 |
20 |
p. 325-330
|
artikel
|
| 14 |
An off-line output feedback MPC strategy for nonlinear systems represented by quasi-LPV model ⁎ ⁎ This work is supported by the National Natural Science Foundation of China (Grant No. 61573269).
|
Hu, Jianchen
|
|
2018
|
51 |
20 |
p. 66-71
|
artikel
|
| 15 |
A Numerically Robust Mixed-Integer Quadratic Programming Solver for Embedded Hybrid Model Predictive Control
|
Bemporad, Alberto
|
|
2018
|
51 |
20 |
p. 412-417
|
artikel
|
| 16 |
A Parameterized NMPC Scheme for Embedded Control of Semi-active Suspension System ⁎ ⁎ This work was sponsored within the ITEA3 European project, 15016 EMPHYSIS (Embedded systems with physical models in the production code software).
|
Madhavan Rathai, Karthik Murali
|
|
2018
|
51 |
20 |
p. 301-306
|
artikel
|
| 17 |
A Penalty Method Based Approach for Autonomous Navigation using Nonlinear Model Predictive Control ⁎ ⁎ This work benefits from KU Leuven-BOF PFV/10/002 Centre of Excellence: Optimization in Engineering (OPTEC), from the project G0C4515N of the Research Foundation-Flanders (FWO-Flanders), from Flanders Make ICON project: Avoidance of collisions and obstacles in narrow lanes, and from the KU Leuven Research project C14/15/067: B-spline based certificates of positivity with applications in engineering, from KU Leuven internal funding: StG/15/043, from Fonds de la Recherche Scientifique - FNRS and the Fonds Wetenschappelijk Onderzoek - Vlaanderen under EOS Project no 30468160 (SeLMA) and from FWO projects G086318N, G086518N.
|
Hermans, Ben
|
|
2018
|
51 |
20 |
p. 234-240
|
artikel
|
| 18 |
A Proximity Approach to Linear Moving Horizon Estimation
|
Gharbi, Meriem
|
|
2018
|
51 |
20 |
p. 549-555
|
artikel
|
| 19 |
A Stochastic Dual Dynamic Programming Framework for Multiscale MPC ⁎ ⁎ We acknowledge funding from Johnson Controls International and the National Science Foundation under award NSF-EECS-1609183.
|
Kumar, Ranjeet
|
|
2018
|
51 |
20 |
p. 493-498
|
artikel
|
| 20 |
A Sufficient Condition for Stability of Sampled–data Model Predictive Control using Adaptive Time–mesh Refinement
|
Paiva, Luís Tiago
|
|
2018
|
51 |
20 |
p. 104-109
|
artikel
|
| 21 |
A Survey of the Implementation of Linear Model Predictive Control on FPGAs ⁎ ⁎ 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
|
McInerney, Ian
|
|
2018
|
51 |
20 |
p. 381-387
|
artikel
|
| 22 |
Asymptotic Stability of Economic NMPC: The Importance of Adjoints
|
Faulwasser, Timm
|
|
2018
|
51 |
20 |
p. 157-168
|
artikel
|
| 23 |
Characteristic Model-based Generalized Predictive Control for Electro-hydraulic System with Dead-zones and Parameter Uncertainty ⁎ ⁎ This work is supported by the National Natural Science Foundation of China under Grant 61273138, 61573197 and the Science & Technology Program of Tianjin under Grant 15ZXGTSF00020.
|
Liu, Shengfei
|
|
2018
|
51 |
20 |
p. 287-294
|
artikel
|
| 24 |
Competing methods for robust and stochastic MPC
|
Mayne, David Q.
|
|
2018
|
51 |
20 |
p. 169-174
|
artikel
|
| 25 |
Computation of terminal costs and sets for discrete–time nonlinear MPC
|
Lazar, Mircea
|
|
2018
|
51 |
20 |
p. 141-146
|
artikel
|
| 26 |
Contents
|
|
|
2018
|
51 |
20 |
p. i-vi
|
artikel
|
| 27 |
Contract-based Predictive Control for Modularity in Hierarchical Systems
|
Bäthge, Tobias
|
|
2018
|
51 |
20 |
p. 499-504
|
artikel
|
| 28 |
Control Lyapunov-Barrier Function-Based Economic Model Predictive Control of Nonlinear Systems ⁎ ⁎ Financial support from the National Science Foundation and the Department of Energy is gratefully acknowledged.
|
Wu, Zhe
|
|
2018
|
51 |
20 |
p. 48-53
|
artikel
|
| 29 |
Control of Systems Exhibiting Input Multiplicities using Dual Nonlinear MPC
|
Kumar, Kunal
|
|
2018
|
51 |
20 |
p. 110-115
|
artikel
|
| 30 |
Cooperative Path Following of Autonomous Vehicles with Model Predictive Control and Event Triggered Communications ⁎ ⁎ This research was supported in part by the Marine UA project under the Marie Curie Sklodowska grant agreement No 642153, the H2020 EU Marine Robotics Research Infrastructure Network (Project ID 731103), and the FCT Project UID/EEA/5009/2013.
|
Hung, Nguyen T.
|
|
2018
|
51 |
20 |
p. 562-567
|
artikel
|
| 31 |
Data-based predictive control via direct weight optimization ⁎ ⁎ This work has been partially funded by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the project DEOCS (ref. DPI2016-76493).
|
Salvador, Jose R.
|
|
2018
|
51 |
20 |
p. 356-361
|
artikel
|
| 32 |
Data-driven Scenario Selection for Multistage Robust Model Predictive Control ⁎ ⁎ D.K, S.S and J.J gratefully acknowledge the financial support from SFI SUBPRO. M.T, S.S and J.J gratefully acknowledge the financial support from FME HighEFF. Corresponding author: J.J.
|
Krishnamoorthy, Dinesh
|
|
2018
|
51 |
20 |
p. 462-468
|
artikel
|
| 33 |
Distributed Model Predictive Control applied to a VAV based HVAC system based on Sensitivity Analysis
|
Darure, Tejaswinee
|
|
2018
|
51 |
20 |
p. 259-264
|
artikel
|
| 34 |
Distributed Model Predictive Control Using Cooperative Contract Options
|
Blasi, Svenja
|
|
2018
|
51 |
20 |
p. 448-454
|
artikel
|
| 35 |
Distributed Quasi-Nonlinear Model Predictive Control with Contractive Constraint
|
Grancharova, Alexandra
|
|
2018
|
51 |
20 |
p. 41-47
|
artikel
|
| 36 |
Drift Counteraction and Control of Downsized and Underactuated Systems: What MPC Has to Offer? ⁎ ⁎ This research is supported by the National Science Foundation Award Number EECS 1404814.
|
Kolmanovsky, Ilya
|
|
2018
|
51 |
20 |
p. 175-190
|
artikel
|
| 37 |
Economic Coordination of Distributed Nonlinear MPC Systems using Closed-loop Prediction of a Nonlinear Dynamic Plant ⁎ ⁎ This work is sponsored by the McMaster Advanced Control Consortium (MACC) and the Imperial Oil University Research Award.
|
Li, Hao
|
|
2018
|
51 |
20 |
p. 35-40
|
artikel
|
| 38 |
Economic Model Predictive Control with Zone Tracking
|
Liu, Su
|
|
2018
|
51 |
20 |
p. 16-21
|
artikel
|
| 39 |
Economic Nonlinear Model Predictive Control for Flexible Operation of Air Separation Units ⁎ ⁎ The authors gratefully acknowledge the financial support of the Kopernikus project SynErgie by the Federal Ministry of Education and Research (BMBF) and the project supervision by the project management organization Projekttrager Jülich (PtJ).
|
Caspari, Adrian
|
|
2018
|
51 |
20 |
p. 295-300
|
artikel
|
| 40 |
Efficient Partial Condensing Algorithms for Nonlinear Model Predictive Control with Partial Sensitivity Update
|
Chen, Yutao
|
|
2018
|
51 |
20 |
p. 406-411
|
artikel
|
| 41 |
Efficient Train Operation via Shrinking Horizon Parametrized Predictive Control
|
Farooqi, Hafsa
|
|
2018
|
51 |
20 |
p. 203-208
|
artikel
|
| 42 |
Encrypted cloud-based MPC for linear systems with input constraints
|
Darup, Moritz Schulze
|
|
2018
|
51 |
20 |
p. 535-542
|
artikel
|
| 43 |
Energy-efficient communication in mobile aerial relay-assisted networks using predictive control ⁎ ⁎ 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.
|
Faqir, Omar J.
|
|
2018
|
51 |
20 |
p. 197-202
|
artikel
|
| 44 |
Fast NMPC with Mixed-Integer Controls Using Quasi-Translations ⁎ ⁎ This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) and MaplesoftTM.
|
Maitland, Anson
|
|
2018
|
51 |
20 |
p. 343-348
|
artikel
|
| 45 |
Fast Nonlinear Moving Horizon Estimation with Discrete Mechanics and Optimal Control
|
Xu, Ke
|
|
2018
|
51 |
20 |
p. 78-85
|
artikel
|
| 46 |
Flatness-based hierarchical control of a meshed DC microgrid
|
Zafeiratou, I.
|
|
2018
|
51 |
20 |
p. 222-227
|
artikel
|
| 47 |
Handling Process Safety and Stochastic Uncertainty in Economic Model Predictive Control ⁎ ⁎ Financial support from the National Science Foundation and the Department of Energy is gratefully acknowledged.
|
Wu, Zhe
|
|
2018
|
51 |
20 |
p. 424-429
|
artikel
|
| 48 |
How Should Rate Constraints be Implemented in Nonlinear Optimal Control Solvers?
|
Nie, Yuanbo
|
|
2018
|
51 |
20 |
p. 362-367
|
artikel
|
| 49 |
Implementation of an economic MPC with robustly optimal steady-state behavior
|
Vaccari, Marco
|
|
2018
|
51 |
20 |
p. 92-97
|
artikel
|
| 50 |
Improved Robust Predictive Control for Lur’e Systems Using Set-based Learning
|
Nguyen, Hoang Hai
|
|
2018
|
51 |
20 |
p. 487-492
|
artikel
|
| 51 |
Inherent robustness of discontinuous MPC: Even (u, u 3) is robust
|
Allan, Douglas A.
|
|
2018
|
51 |
20 |
p. 475-480
|
artikel
|
| 52 |
Interconnections of dissipative systems and distributed economic MPC
|
Köhler, Philipp N.
|
|
2018
|
51 |
20 |
p. 86-91
|
artikel
|
| 53 |
Large-scale Optimization Formulations and Strategies for Nonlinear Model Predictive Control
|
Biegler, Lorenz T.
|
|
2018
|
51 |
20 |
p. 1-15
|
artikel
|
| 54 |
Learning-Based Robust Model Predictive Control with State-Dependent Uncertainty
|
Soloperto, Raffaele
|
|
2018
|
51 |
20 |
p. 442-447
|
artikel
|
| 55 |
Legible Model Predictive Control for Autonomous Driving on Highways
|
Brüdigam, Tim
|
|
2018
|
51 |
20 |
p. 215-221
|
artikel
|
| 56 |
Model Predictive Control for Energy-Efficient Operations of Data Centers with Cold Aisle Containments ⁎ ⁎ This work was supported in part by JSPS KAKENHI Grant Number JP18K13777, the open collaborative research at National Institute of Informatics (NII) Japan (FY2018), the National Natural Science Foundation of China (NSFC) under Grant No. 61502255, and Inner Mongolia Science and Technology Plan.
|
Ogura, Masaki
|
|
2018
|
51 |
20 |
p. 209-214
|
artikel
|
| 57 |
Model predictive control for linear DAEs without terminal constraints and costs ⁎ ⁎ The authors are indebted to the Germany Research Foundation (DFG) (grants IL 25/10-1 and WO2056/2-1) and the Studienstiftung des Deutschen Volkes for their support.
|
Ilchmann, Achim
|
|
2018
|
51 |
20 |
p. 116-121
|
artikel
|
| 58 |
Model predictive control for linear differential-algebraic equations ⁎ ⁎ The authors are indebted to the Germany Research Foundation (DFG) (grants IL 25/10-1 and WO2056/2-1) and the Studienstiftung des Deutschen Volkes for their support
|
Ilchmann, Achim
|
|
2018
|
51 |
20 |
p. 98-103
|
artikel
|
| 59 |
Model Predictive Obstacle Avoidance Control for Vehicles with Automatic Velocity Suppression using Artificial Potential Field
|
Shibata, Koji
|
|
2018
|
51 |
20 |
p. 313-318
|
artikel
|
| 60 |
MPC for nonlinear periodic tracking using reference generic offline computations ⁎ ⁎ The authors thank the German Research Foundation (DFG) for support of this work within Soft Tissue Robotics (GRK 2198/1).
|
Köhler, Johannes
|
|
2018
|
51 |
20 |
p. 556-561
|
artikel
|
| 61 |
MPC for Path Following Problems of Wheeled Mobile Robots ⁎ ⁎ The work is supported by the National Natural Science Foundation of China for financial support within the projects No. 61573165, No. 6171101085 and No. 61520106008.
|
Yu, Shuyou
|
|
2018
|
51 |
20 |
p. 247-252
|
artikel
|
| 62 |
Multi-Mode Learning Supported Model Predictive Control with Guarantees
|
Bethge, Johanna
|
|
2018
|
51 |
20 |
p. 517-522
|
artikel
|
| 63 |
Nonlinear Model Predictive Control for Path Following of Simple Small Electric Vehicle Using C/GMRES
|
Owaki, Yuto
|
|
2018
|
51 |
20 |
p. 253-258
|
artikel
|
| 64 |
Nonlinear Model Predictive Control for Stochastic Differential Equation Systems
|
Brok, Niclas Laursen
|
|
2018
|
51 |
20 |
p. 430-435
|
artikel
|
| 65 |
Nonlinear Model Predictive Control of Position and Attitude in a Hexacopter with Three Failed Rotors ⁎ ⁎ This work was partly supported by JSPS KAKENHI Grant Number 15H02257
|
Aoki, Yusuke
|
|
2018
|
51 |
20 |
p. 228-233
|
artikel
|
| 66 |
Nonlinear Model Predictive Control with Explicit Backoffs for Stochastic Systems under Arbitrary Uncertainty
|
Paulson, Joel A.
|
|
2018
|
51 |
20 |
p. 523-534
|
artikel
|
| 67 |
Numerical investigation regarding an MPC scheme with non uniformly weighted stage cost without terminal constraints: Application to the control of a real-life cryogenic plant
|
Alamir, Mazen
|
|
2018
|
51 |
20 |
p. 418-423
|
artikel
|
| 68 |
Offset-free model predictive control for enhancing MR-HIFU hyperthermia in cancer treatment ⁎ ⁎ This research has been made possible by the Dutch Cancer Society and the Netherlands Organisation for Scientific Research (NWO) as part of their joint Partnership Programme: “Technology for Oncology”. This project is partially financed by the PPP Allowance made available by Top Sector Life Sciences & Health. This work is also partially funded by the European Union via the IPaCT Project.
|
Deenen, D.A.
|
|
2018
|
51 |
20 |
p. 191-196
|
artikel
|
| 69 |
Offset-Free MPC for Resource Sharing on a Nonlinear SCARA Robot ⁎ ⁎ This work is part of the research programme CHAMeleon “Hybrid solutions for cost-aware high-performance motion control” with project number 13896, which is (partly) financed by the Netherlands Organisation for Scientific Research (NWO).
|
Bianchi, M.
|
|
2018
|
51 |
20 |
p. 265-272
|
artikel
|
| 70 |
On multiparametric/explicit NMPC for Quadratically Constrained Problems ⁎ ⁎ Financial support from the National Science Foundation (Grant No. 1705423) and Texas A&M Energy Institute is greatly acknowledged.
|
Diangelakis, Nikolaos A.
|
|
2018
|
51 |
20 |
p. 400-405
|
artikel
|
| 71 |
Potential-field constructions in an MPC framework: application for safe navigation in a variable coastal environment
|
Tran, N.Q.H.
|
|
2018
|
51 |
20 |
p. 307-312
|
artikel
|
| 72 |
Preconditioned Krylov iterations and condensing in interior point MPC method
|
Malyshev, Alexander
|
|
2018
|
51 |
20 |
p. 388-393
|
artikel
|
| 73 |
Preconditioning of conjugate gradient iterations in interior point MPC method
|
Malyshev, Alexander
|
|
2018
|
51 |
20 |
p. 394-399
|
artikel
|
| 74 |
Projected Preconditioning within a Block-Sparse Active-Set Method for MPC
|
Quirynen, Rien
|
|
2018
|
51 |
20 |
p. 28-34
|
artikel
|
| 75 |
Quasi-Newton Jacobian and Hessian Updates for Pseudospectral based NMPC
|
Hespanhol, Pedro
|
|
2018
|
51 |
20 |
p. 22-27
|
artikel
|
| 76 |
Real-Time Autonomous Car Motion Planning using NMPC with Approximated Problem Considering Traffic Environment
|
Obayashi, Makoto
|
|
2018
|
51 |
20 |
p. 279-286
|
artikel
|
| 77 |
Real-Time Realization of a Family of Optimal Infinite-Memory Non-Causal Systems ⁎ ⁎ This work was supported by the National Science Foundation under award number 1743938.
|
Tanovic, Omer
|
|
2018
|
51 |
20 |
p. 147-152
|
artikel
|
| 78 |
Robust Data-Based Model Predictive Control for Nonlinear Constrained Systems ⁎ ⁎ The authors would like to thank the support by the MINECO-Spain and FEDER Funds under project DPI2016-76493-C3-1-R, as well as the VI Plan PPIT-US of the University of Seville.
|
Manzano, J.M.
|
|
2018
|
51 |
20 |
p. 505-510
|
artikel
|
| 79 |
Robust Dual Multi-stage NMPC using Guaranteed Parameter Estimation ⁎ ⁎ The authors acknowledge the financial support by the European Commission under the grant agreement number 291458 (ERC Advanced Investigator Grant MOBOCON) and by the German Academic Exchange Service (DAAD) and The Ministry of Education, Science, Research and Sport of the Slovak Republic under the Exchange involving projects (PPP) project “Reliable and Real-time Feasible Estimation and Control of Chemical Plants”. RP acknowledges the contribution of the Slovak Research and Development Agency under the project APVV 15-0007.
|
Thangavel, Sakthi
|
|
2018
|
51 |
20 |
p. 72-77
|
artikel
|
| 80 |
Robust Periodic Economic Model Predictive Control using Probabilistic Set Invariance for Descriptor Systems ⁎ ⁎ This work has been partially funded by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the project DEOCS (ref. DPI2016-76493) and SCAV (ref. DPI2017-88403-R), the FPI grant (ref. BES-2014-068319), and by AGAUR of Generalitat de Catalunya through the Advanced Control Systems (SAC) group grant (ref. 2017-SGR-482).
|
Wang, Ye
|
|
2018
|
51 |
20 |
p. 436-441
|
artikel
|
| 81 |
Sensitivity Analysis for Nonlinear Programming in CasADi ⁎ ⁎ The authors would like to thank Johnson Controls International Inc, for generous support that has made this work possible
|
Andersson, Joel A.E.
|
|
2018
|
51 |
20 |
p. 331-336
|
artikel
|
| 82 |
Stability of Gaussian Process Learning Based Output Feedback Model Predictive Control ⁎ ⁎ The authors acknowledge funding by the MINECO-Spain program, the FEDER Funds under project DPI2016-76493-C3-1-R, by the German Federal Ministry of Education and Research within the Forschungscampus STIMULATE under grant number 13GW0095A, as well as the Erasmus+ program for its researchers.
|
Maiworm, Michael
|
|
2018
|
51 |
20 |
p. 455-461
|
artikel
|
| 83 |
State Measurement Spoofing Prevention through Model Predictive Control Design ⁎ ⁎ Financial support from Wayne State University is gratefully acknowledged.
|
Durand, Helen
|
|
2018
|
51 |
20 |
p. 543-548
|
artikel
|
| 84 |
Towards a modular software package for embedded optimization
|
Verschueren, Robin
|
|
2018
|
51 |
20 |
p. 374-380
|
artikel
|
| 85 |
Towards Optimal Tuning of Robust Output Feedback MPC
|
Kögel, Markus
|
|
2018
|
51 |
20 |
p. 134-140
|
artikel
|
| 86 |
Tracking MPC with non-convex steady state admissible sets
|
Cotorruelo, Andres
|
|
2018
|
51 |
20 |
p. 153-156
|
artikel
|
| 87 |
Trajectory-based LQR Control of a Grid-connected Converter with an LCL Filter
|
Mouton, Toit
|
|
2018
|
51 |
20 |
p. 273-278
|
artikel
|
| 88 |
Uniqueness Conditions for ALS Problems ⁎ ⁎ The authors gratefully acknowledge financial support from the industrial sponsors of the Texas-Wisconsin-California Control Consortium.
|
Arnold, Travis J.
|
|
2018
|
51 |
20 |
p. 469-474
|
artikel
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