A modular framework for distributed model predictive control of nonlinear continuous-time systems (GRAMPC-D)

Burk D, Völz A, Graichen K (2022)

Publication Language: English

Publication Type: Journal article

Publication year: 2022

Journal

Optimization and Engineering Springer Verlag (Germany)

Book Volume: 23

Pages Range: 771-795

DOI: 10.1007/s11081-021-09605-3

Open Access Link: https://doi.org/10.1007/s11081-021-09605-3

Authors with CRIS profile

Daniel Burk Chair of Automatic Control Andreas Völz Chair of Automatic Control Knut Graichen Chair of Automatic Control

Related research project(s)

Modular distributed model predictive control of nonlinear systems with neighborhood models April 1, 2019 - Dec. 31, 2020

How to cite

APA:

Burk, D., Völz, A., & Graichen, K. (2022). A modular framework for distributed model predictive control of nonlinear continuous-time systems (GRAMPC-D). Optimization and Engineering, 23, 771-795. https://doi.org/10.1007/s11081-021-09605-3

MLA:

Burk, Daniel, Andreas Völz, and Knut Graichen. "A modular framework for distributed model predictive control of nonlinear continuous-time systems (GRAMPC-D)." Optimization and Engineering 23 (2022): 771-795.

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