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Efficient stochastic model predictive control for embedded systems based on second-order cone programs.

, , , , and . ECC, page 166-171. IEEE, (2016)

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Efficient stochastic model predictive control for embedded systems based on second-order cone programs., , , , and . ECC, page 166-171. IEEE, (2016)Quantized Deep Neural Network Based Optimal Control of Greenhouses on a Microcontroller., , , and . ECC, page 400-405. IEEE, (2024)Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool., , , , and . IEEE Trans. Ind. Informatics, 14 (1): 137-145 (2018)Towards Predictive Path-Following Control using Deep Neural Networks and Path Primitives., and . ECC, page 3179-3184. IEEE, (2024)Modeling, parameter identification and model-based control of a lightweight robotic manipulator., , and . CCA, page 134-139. IEEE, (2013)Predictive path-following control: Concept and implementation for an industrial robot., , , and . CCA, page 128-133. IEEE, (2013)Efficient stochastic model predictive control based on polynomial chaos expansions for embedded applications., , , and . CDC, page 3006-3012. IEEE, (2015)Predictive control, embedded cyberphysical systems and systems of systems - A perspective., , , , and . Annu. Rev. Control., (2016)Implementation aspects of model predictive control for embedded systems., , , and . ACC, page 1205-1210. IEEE, (2012)μAO-MPC: A free code generation tool for embedded real-time linear model predictive control., , and . ACC, page 5320-5325. IEEE, (2013)