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ORCIDManfred Morari
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- affiliation: University of Pennsylvania, Philadelphia, PA, USA
- affiliation (former): ETH Zurich, Switzerland
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2020 – today
- 2024
[j134]Shaoru Chen, Victor M. Preciado, Manfred Morari, Nikolai Matni:
Robust model predictive control with polytopic model uncertainty through System Level Synthesis. Autom. 162: 111431 (2024)- 2023
- [j133]Alëna Rodionova
, Lars Lindemann, Manfred Morari, George J. Pappas:
Combined Left and Right Temporal Robustness for Control Under STL Specifications. IEEE Control. Syst. Lett. 7: 619-624 (2023) - [j132]Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Temporal Robustness of Temporal Logic Specifications: Analysis and Control Design. ACM Trans. Embed. Comput. Syst. 22(1): 13:1-13:44 (2023) - [c204]Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Yannis G. Kevrekidis, Mahyar Fazlyab:
Certified Invertibility in Neural Networks via Mixed-Integer Programming. L4DC 2023: 483-496 - [e2]Nikolai Matni, Manfred Morari, George J. Pappas:
Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA. Proceedings of Machine Learning Research 211, PMLR 2023 [contents] - [i31]Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Ioannis G. Kevrekidis, Mahyar Fazlyab:
Certified Invertibility in Neural Networks via Mixed-Integer Programming. CoRR abs/2301.11783 (2023) - [i30]Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Combined Left and Right Temporal Robustness for Control under STL Specifications. CoRR abs/2306.04936 (2023) - 2022
- [j131]Steven W. Chen, Tianyu Wang, Nikolay Atanasov, Vijay Kumar, Manfred Morari:
Large scale model predictive control with neural networks and primal active sets. Autom. 135: 109947 (2022) - [j130]Bhavik R. Bakshi, Matthew J. Realff, Yaman Arkun, Manfred Morari:
Computers and chemical engineering virtual special issue in honor of Professor George Stephanopoulos. Comput. Chem. Eng. 166: 107986 (2022) - [j129]Sandeep Menta, Joseph Warrington, John Lygeros, Manfred Morari:
Learning Q-Function Approximations for Hybrid Control Problems. IEEE Control. Syst. Lett. 6: 1364-1369 (2022) - [j128]Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming. IEEE Trans. Autom. Control. 67(1): 1-15 (2022) - [c203]Thomas Beckers, Leonardo J. Colombo, Manfred Morari, George J. Pappas:
Learning-based Balancing of Model-based and Feedback Control for Second-order Mechanical Systems. CDC 2022: 4667-4673 - [c202]Anastasios Tsiamis, Ingvar M. Ziemann, Manfred Morari, Nikolai Matni, George J. Pappas:
Learning to Control Linear Systems can be Hard. COLT 2022: 3820-3857 - [c201]Charis J. Stamouli, Anastasios Tsiamis, Manfred Morari, George J. Pappas:
Adaptive Stochastic MPC under Unknown Noise Distribution. L4DC 2022: 596-607 - [i29]Shaoru Chen, Victor M. Preciado, Manfred Morari, Nikolai Matni:
Robust Model Predictive Control with Polytopic Model Uncertainty through System Level Synthesis. CoRR abs/2203.11375 (2022) - [i28]Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Temporal Robustness of Temporal Logic Specifications: Analysis and Control Design. CoRR abs/2203.15661 (2022) - [i27]Charis J. Stamouli, Anastasios Tsiamis, Manfred Morari, George J. Pappas:
Adaptive Stochastic MPC under Unknown Noise Distribution. CoRR abs/2204.01107 (2022) - [i26]Anastasios Tsiamis, Ingvar M. Ziemann, Manfred Morari, Nikolai Matni, George J. Pappas:
Learning to Control Linear Systems can be Hard. CoRR abs/2205.14035 (2022) - 2021
- [c200]Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Time-Robust Control for STL Specifications. CDC 2021: 572-579 - [c199]Mahyar Fazlyab, Manfred Morari, George J. Pappas:
An Introduction to Neural Network Analysis via Semidefinite Programming. CDC 2021: 6341-6350 - [c198]Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning Region of Attraction for Nonlinear Systems. CDC 2021: 6477-6484 - [c197]Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning Lyapunov Functions for Hybrid Systems. CISS 2021: 1 - [c196]Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning lyapunov functions for hybrid systems. HSCC 2021: 13:1-13:11 - [c195]Alp Aydinoglu, Mahyar Fazlyab, Manfred Morari, Michael Posa:
Stability analysis of complementarity systems with neural network controllers. HSCC 2021: 19:1-19:10 - [c194]Heejin Jeong, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Deep Reinforcement Learning for Active Target Tracking. ICRA 2021: 1825-1831 - [i25]Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Time-Robust Control for STL Specifications. CoRR abs/2104.02677 (2021) - [i24]Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning Region of Attraction for Nonlinear Systems. CoRR abs/2110.00731 (2021) - [i23]Shaoru Chen, Nikolai Matni, Manfred Morari, Victor M. Preciado:
System Level Synthesis-based Robust Model Predictive Control through Convex Inner Approximation. CoRR abs/2111.05509 (2021) - 2020
- [j127]Andrea Zanelli, Alexander Domahidi, Juan Luis Jerez, Manfred Morari:
FORCES NLP: an efficient implementation of interior-point methods for multistage nonlinear nonconvex programs. Int. J. Control 93(1): 13-29 (2020) - [j126]Yvonne R. Stürz, Manfred Morari, Roy S. Smith:
Control of an Architectural Cable Net Geometry. IEEE Trans. Control. Syst. Technol. 28(4): 1378-1392 (2020) - [c193]Shaoru Chen, Han Wang, Manfred Morari, Victor M. Preciado, Nikolai Matni:
Robust Closed-loop Model Predictive Control via System Level Synthesis. CDC 2020: 2152-2159 - [c192]Haimin Hu, Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming. CDC 2020: 5929-5934 - [c191]Achin Jain, Manfred Morari:
Computing the racing line using Bayesian optimization. CDC 2020: 6192-6197 - [c190]Achin Jain, Matthew O'Kelly, Pratik Chaudhari, Manfred Morari:
BayesRace: Learning to race autonomously using prior experience. CoRL 2020: 1918-1929 - [c189]Sandeep Menta, Joseph Warrington, John Lygeros, Manfred Morari:
Learning solutions to hybrid control problems using Benders cuts. L4DC 2020: 118-126 - [c188]Achin Jain, Francesco Smarra, Enrico Reticcioli, Alessandro D'Innocenzo, Manfred Morari:
NeurOpt: Neural network based optimization for building energy management and climate control. L4DC 2020: 445-454 - [i22]Achin Jain, Francesco Smarra, Enrico Reticcioli, Alessandro D'Innocenzo, Manfred Morari:
NeurOpt: Neural network based optimization for building energy management and climate control. CoRR abs/2001.07831 (2020) - [i21]Achin Jain, Manfred Morari:
Computing the racing line using Bayesian optimization. CoRR abs/2002.04794 (2020) - [i20]Haimin Hu, Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming. CoRR abs/2004.07876 (2020) - [i19]Achin Jain, Pratik Chaudhari, Manfred Morari:
BayesRace: Learning to race autonomously using prior experience. CoRR abs/2005.04755 (2020) - [i18]Heejin Jeong, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Learning to Track Dynamic Targets in Partially Known Environments. CoRR abs/2006.10190 (2020) - [i17]Alp Aydinoglu, Mahyar Fazlyab, Manfred Morari, Michael Posa:
Stability Analysis of Complementarity Systems with Neural Network Controllers. CoRR abs/2011.07626 (2020)
2010 – 2019
- 2019
- [j125]Stefan Bötschi, Ashwin Kumar Rajagopalan, Igor Rombaut, Manfred Morari, Marco Mazzotti:
From needle-like toward equant particles: A controlled crystal shape engineering pathway. Comput. Chem. Eng. 131 (2019) - [j124]Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari:
Distributionally robust expectation inequalities for structured distributions. Math. Program. 173(1-2): 251-280 (2019) - [j123]Damian Frick, Angelos Georghiou, Juan Luis Jerez, Alexander Domahidi, Manfred Morari:
Low-Complexity Method for Hybrid MPC with Local Guarantees. SIAM J. Control. Optim. 57(4): 2328-2361 (2019) - [c187]Yiming Zhao, Umut Zalluhoglu, Julien Marck, Nazli Demirer, Manfred Morari:
Model Predictive Control for Mud Motor Operation in Directional Drilling. ACC 2019: 5197-5202 - [c186]Nazli Demirer, Umut Zalluhoglu, Julien Marck, Robert Darbe, Manfred Morari:
Autonomous Directional Drilling with Rotary Steerable Systems. ACC 2019: 5203-5208 - [c185]Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Probabilistic Verification and Reachability Analysis of Neural Networks via Semidefinite Programming. CDC 2019: 2726-2731 - [c184]Santiago Paternain, Manfred Morari, Alejandro Ribeiro:
Real-Time Model Predictive Control Based on Prediction-Correction Algorithms. CDC 2019: 5285-5291 - [c183]Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Learning Q-network for Active Information Acquisition. IROS 2019: 6822-6827 - [c182]Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas:
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. NeurIPS 2019: 11423-11434 - [i16]Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming. CoRR abs/1903.01287 (2019) - [i15]Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas:
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. CoRR abs/1906.04893 (2019) - [i14]Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Probabilistic Verification and Reachability Analysis of Neural Networks via Semidefinite Programming. CoRR abs/1910.04249 (2019) - [i13]Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Learning Q-network for Active Information Acquisition. CoRR abs/1910.10754 (2019) - [i12]Steven W. Chen, Tianyu Wang, Nikolay Atanasov, Vijay Kumar, Manfred Morari:
Large Scale Model Predictive Control with Neural Networks and Primal Active Sets. CoRR abs/1910.10835 (2019) - [i11]Santiago Paternain, Manfred Morari, Alejandro Ribeiro:
A Prediction-Correction Algorithm for Real-Time Model Predictive Control. CoRR abs/1911.10051 (2019) - 2018
- [j122]Giampaolo Torrisi, Sergio Grammatico, Roy S. Smith, Manfred Morari:
A Projected Gradient and Constraint Linearization Method for Nonlinear Model Predictive Control. SIAM J. Control. Optim. 56(3): 1968-1999 (2018) - [j121]Mahyar Fazlyab, Alejandro Ribeiro, Manfred Morari, Victor M. Preciado:
Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems. SIAM J. Optim. 28(3): 2654-2689 (2018) - [c181]Steven W. Chen, Kelsey Saulnier, Nikolay Atanasov, Daniel D. Lee, Vijay Kumar, George J. Pappas, Manfred Morari:
Approximating Explicit Model Predictive Control Using Constrained Neural Networks. ACC 2018: 1520-1527 - [c180]Santiago Paternain, Manfred Morari, Alejandro Ribeiro:
A Prediction-Correction Method for Model Predictive Control. ACC 2018: 4189-4194 - [c179]Nicholas J. Watkins, Konstantinos Gatsis, Manfred Morari, George J. Pappas:
Scenario-Based Model Predictive Control for Energy Harvesting Actuators. ACC 2018: 5497-5502 - [c178]Mahyar Fazlyab, Manfred Morari, Victor M. Preciado:
Design of First-Order Optimization Algorithms via Sum-of-Squares Programming. CDC 2018: 4445-4452 - [c177]Andreea B. Alexandru, Manfred Morari, George J. Pappas:
Cloud-Based MPC with Encrypted Data. CDC 2018: 5014-5019 - [c176]Achin Jain, Truong X. Nghiem, Manfred Morari, Rahul Mangharam:
Learning and control using gaussian processes: towards bridging machine learning and controls for physical systems. ICCPS 2018: 140-149 - [i10]Andreea B. Alexandru, Manfred Morari, George J. Pappas:
Cloud-based MPC with Encrypted Data. CoRR abs/1803.09891 (2018) - 2017
- [j120]Marko Tanaskovic, Lorenzo Fagiano, Carlo Novara, Manfred Morari:
Data-driven control of nonlinear systems: An on-line direct approach. Autom. 75: 1-10 (2017) - [j119]Stefan Richter, Tobias Geyer, Manfred Morari:
Resource-Efficient Gradient Methods for Model Predictive Pulse Pattern Control on an FPGA. IEEE Trans. Control. Syst. Technol. 25(3): 828-841 (2017) - [j118]Giampaolo Torrisi, Sergio Grammatico, Andrea Cortinovis, Mehmet Mercangöz, Manfred Morari, Roy S. Smith:
Model Predictive Approaches for Active Surge Control in Centrifugal Compressors. IEEE Trans. Control. Syst. Technol. 25(6): 1947-1960 (2017) - [c175]Mahyar Fazlyab, Alejandro Ribeiro, Manfred Morari, Victor M. Preciado:
A dynamical systems perspective to convergence rate analysis of proximal algorithms. Allerton 2017: 354-360 - [c174]Amit Surana, Matthew O. Williams, Manfred Morari, Andrzej Banaszuk:
Koopman operator framework for constrained state estimation. CDC 2017: 94-101 - [c173]Giampaolo Torrisi, Sergio Grammatico, Damian Frick, Tommaso Robbiani, Roy S. Smith, Manfred Morari:
Low-complexity first-order constraint linearization methods for efficient nonlinear MPC. CDC 2017: 4376-4381 - [i9]Alexander Liniger, Alexander Domahidi, Manfred Morari:
Optimization-Based Autonomous Racing of 1: 43 Scale RC Cars. CoRR abs/1711.07300 (2017) - 2016
- [j117]Jalal Habibi, Behzad Moshiri, Ali Khaki-Sedigh, Manfred Morari:
Low-complexity control of hybrid systems using approximate multi-parametric MILP. Autom. 63: 292-301 (2016) - [j116]Robin Vujanic, Peyman Mohajerin Esfahani, Paul J. Goulart, Sébastien Mariéthoz, Manfred Morari:
A decomposition method for large scale MILPs, with performance guarantees and a power system application. Autom. 67: 144-156 (2016) - [j115]Christian Conte, Colin N. Jones, Manfred Morari, Melanie Nicole Zeilinger:
Distributed synthesis and stability of cooperative distributed model predictive control for linear systems. Autom. 69: 117-125 (2016) - [j114]Georg Schildbach, Manfred Morari:
Scenario-based model predictive control for multi-echelon supply chain management. Eur. J. Oper. Res. 252(2): 540-549 (2016) - [j113]Robin Vujanic, Paul Goulart, Manfred Morari:
Robust Optimization of Schedules Affected by Uncertain Events. J. Optim. Theory Appl. 171(3): 1033-1054 (2016) - [j112]Bart P. G. Van Parys, Daniel Kuhn, Paul J. Goulart, Manfred Morari:
Distributionally Robust Control of Constrained Stochastic Systems. IEEE Trans. Autom. Control. 61(2): 430-442 (2016) - [j111]David Sturzenegger, Dimitrios Gyalistras, Manfred Morari, Roy S. Smith:
Model Predictive Climate Control of a Swiss Office Building: Implementation, Results, and Cost-Benefit Analysis. IEEE Trans. Control. Syst. Technol. 24(1): 1-12 (2016) - [j110]Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari:
Automatic Retraction and Full-Cycle Operation for a Class of Airborne Wind Energy Generators. IEEE Trans. Control. Syst. Technol. 24(2): 594-608 (2016) - [c172]Yvonne R. Sturz, Manfred Morari, Roy S. Smith:
Two methods for the identification of uncertain parameters of an architectural cable net geometry. CCA 2016: 804-809 - [c171]Yvonne R. Sturz, Manfred Morari, Roy S. Smith:
Sequential quadratic programming for the control of an architectural cable net geometry. ACC 2016: 3503-3508 - [c170]Giampaolo Torrisi, Sergio Grammatico, Roy S. Smith, Manfred Morari:
A variant to Sequential Quadratic Programming for nonlinear Model Predictive Control. CDC 2016: 2814-2819 - [c169]Felix Rey, Damian Frick, Alexander Domahidi, Juan Luis Jerez, Manfred Morari, John Lygeros:
ADMM prescaling for model predictive control. CDC 2016: 3662-3667 - 2015
- [j109]Georg Schildbach, Paul J. Goulart, Manfred Morari:
Linear controller design for chance constrained systems. Autom. 51: 278-284 (2015) - [j108]Martin Herceg, Colin N. Jones, Michal Kvasnica, Manfred Morari:
Enumeration-based approach to solving parametric linear complementarity problems. Autom. 62: 243-248 (2015) - [j107]Damian Frick, Alexander Domahidi, Manfred Morari:
Embedded optimization for mixed logical dynamical systems. Comput. Chem. Eng. 72: 21-33 (2015) - [j106]Alexander Fuchs, Daniel Axehill, Manfred Morari:
Lifted Evaluation of mp-MIQP Solutions. IEEE Trans. Autom. Control. 60(12): 3328-3331 (2015) - [j105]Stefan Almér, Sébastien Mariéthoz, Manfred Morari:
Dynamic Phasor Model Predictive Control of Switched Mode Power Converters. IEEE Trans. Control. Syst. Technol. 23(1): 349-356 (2015) - [j104]Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari:
Real-Time Optimization and Adaptation of the Crosswind Flight of Tethered Wings for Airborne Wind Energy. IEEE Trans. Control. Syst. Technol. 23(2): 434-448 (2015) - [c168]Georg Schildbach, Manfred Morari:
Scenario MPC for linear time-varying systems with individual chance constraints. ACC 2015: 415-421 - [c167]Giampaolo Torrisi, Sergio Grammatico, Manfred Morari, Roy S. Smith:
Model Predictive Control approaches for centrifugal compression systems. CDC 2015: 4320-4325 - [c166]Giampaolo Torrisi, Victor H. Jaramillo, James R. Ottewill, Sébastien Mariéthoz, Manfred Morari, Roy S. Smith:
Active Surge control of electrically driven centrifugal compressors. ECC 2015: 1614-1619 - [c165]Sandro Merkli, Juan Luis Jerez, Alexander Domahidi, Roy S. Smith, Manfred Morari:
Circuit generation for efficient projection onto polyhedral sets in first-order methods. ECC 2015: 3440-3445 - [c164]Witold Pawlus, Geir Hovland, Martin Choux, Damian Frick, Manfred Morari:
Drivetrain design optimization for electrically actuated systems via mixed integer programing. IECON 2015: 1465-1470 - [i8]Marko Tanaskovic, Lorenzo Fagiano, Carlo Novara, Manfred Morari:
On-line direct data driven controller design approach with automatic update for some of the tuning parameters. CoRR abs/1506.05267 (2015) - 2014
- [j103]Daniel Axehill, Thomas Besselmann, Davide Martino Raimondo, Manfred Morari:
A parametric branch and bound approach to suboptimal explicit hybrid MPC. Autom. 50(1): 240-246 (2014) - [j102]Melanie Nicole Zeilinger, Davide Martino Raimondo, Alexander Domahidi, Manfred Morari, Colin N. Jones:
On real-time robust model predictive control. Autom. 50(3): 683-694 (2014) - [j101]Georg Schildbach, Lorenzo Fagiano, Christoph Frei, Manfred Morari:
The scenario approach for Stochastic Model Predictive Control with bounds on closed-loop constraint violations. Autom. 50(12): 3009-3018 (2014) - [j100]Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Manfred Morari:
Adaptive receding horizon control for constrained MIMO systems. Autom. 50(12): 3019-3029 (2014) - [j99]Marko Tanaskovic, Lorenzo Fagiano, Manfred Morari:
On the optimal worst-case experiment design for constrained linear systems. Autom. 50(12): 3291-3298 (2014) - [j98]Kwang Ki Kevin Kim, Sigurd Skogestad, Manfred Morari, Richard D. Braatz:
Necessary and sufficient conditions for robust reliable control in the presence of model uncertainties and system component failures. Comput. Chem. Eng. 70: 67-77 (2014) - [j97]Melanie Nicole Zeilinger, Manfred Morari, Colin N. Jones:
Soft Constrained Model Predictive Control With Robust Stability Guarantees. IEEE Trans. Autom. Control. 59(5): 1190-1202 (2014) - [j96]Juan Luis Jerez, Paul J. Goulart, Stefan Richter, George A. Constantinides, Eric C. Kerrigan, Manfred Morari:
Embedded Online Optimization for Model Predictive Control at Megahertz Rates. IEEE Trans. Autom. Control. 59(12): 3238-3251 (2014) - [j95]Frauke Oldewurtel, Colin Neil Jones, Alessandra Parisio, Manfred Morari:
Stochastic Model Predictive Control for Building Climate Control. IEEE Trans. Control. Syst. Technol. 22(3): 1198-1205 (2014) - [j94]Lorenzo Fagiano, Aldo U. Zgraggen, Manfred Morari, Mustafa Khammash:
Automatic Crosswind Flight of Tethered Wings for Airborne Wind Energy: Modeling, Control Design, and Experimental Results. IEEE Trans. Control. Syst. Technol. 22(4): 1433-1447 (2014) - [j93]Julius Pfrommer, Joseph Warrington, Georg Schildbach, Manfred Morari:
Dynamic Vehicle Redistribution and Online Price Incentives in Shared Mobility Systems. IEEE Trans. Intell. Transp. Syst. 15(4): 1567-1578 (2014) - [c163]David Sturzenegger, Dimitrios Gyalistras, Vito Semeraro, Manfred Morari, Roy S. Smith:
BRCM Matlab Toolbox: Model generation for model predictive building control. ACC 2014: 1063-1069 - [c162]Joseph Warrington, Christian Hohl, Paul J. Goulart, Manfred Morari:
Optimal unit commitment accounting for robust affine reserve policies. ACC 2014: 5049-5055 - [c161]Marko Tanaskovic, Lorenzo Fagiano, Manfred Morari:
Worst-case experiment design for constrained MISO systems. CDC 2014: 999-1004 - [c160]Robin Vujanic, Peyman Mohajerin Esfahani, Paul J. Goulart, Manfred Morari:
Electric Vehicles aggregator optimization: a fast and solver-free solution method. CDC 2014: 5027-5032 - [c159]Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari:
On modeling and control of the retraction phase for airborne wind energy systems. CDC 2014: 5686-5691 - [c158]