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A Distributed Solution to the Adjustable Robust Economic Dispatch Problem

M. Lorenzen, M. Bürger, G. Notarstefano, and F. Allgöwer. Proc. 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), page 75-80. (2013)

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M. Nudischer

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Other publications of authors with the same name

An Improved Constraint-Tightening Approach for Stochastic MPCM. Lorenzen, F. Allgöwer, F. Dabbene, and R. Tempo. Proc. American Control Conf. (ACC), page 944-949. Chicago, IL, USA, (2015)Facilitating learning progress in a first control course via Matlab appsA. Koch, M. Lorenzen, P. Pauli, and F. Allgöwer. Proc. 21st IFAC World Congress, page 17356-17361. Berlin, Germany, (2020)Scenario-Based Stochastic MPC with Guaranteed Recursive FeasibilityM. Lorenzen, F. Allgöwer, F. Dabbene, and R. Tempo. (2015)Robust Economic Model Predictive Control using Stochastic InformationF. Bayer, M. Lorenzen, M. Müller, and F. Allgöwer. Automatica, (2016)A Distributed Solution to the Adjustable Robust Economic Dispatch ProblemM. Lorenzen, M. Bürger, G. Notarstefano, and F. Allgöwer. Proc. 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), page 75-80. (2013)Improving Performance in Robust Economic MPC Using Stochastic InformationF. Bayer, M. Lorenzen, M. Müller, and F. Allgöwer. Proc. IFAC Conf. Nonlinear Model Predictive Control (NMPC), 48, page 410-415. Seville, Spain, (2015)Stochastic Model Predictive Control without Terminal ConstraintsM. Lorenzen, M. Müller, and F. Allgöwer. International Journal of Robust and Nonlinear Control, (2017)Scenario-Based Stochastic MPC with Guaranteed Recursive FeasibilityM. Lorenzen, F. Allgöwer, F. Dabbene, and R. Tempo. Proceedings of the IEEE Conference on Decision and Control (CDC), (2015)