Real-Time Nonlinear Model Predictive Control of Robots Using a Graphics Processing Unit

In past robotics applications, Model Predictive Control (MPC) has often been limited to linear models and relatively short time horizons. In recent years however, research in optimization, optimal control, and simulation has enabled some forms of nonlinear model predictive control which find locally...

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Vydané v:	IEEE robotics and automation letters Ročník 5; číslo 2; s. 1467 - 1474
Hlavní autori:	Hyatt, Phillip, Killpack, Marc D.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Complex systems Computer simulation control architectures and programming deep learning in robotics and automation model learning for control Nonlinear control Optimal control Optimization Optimization and optimal control Predictive control Quality control Real time Robot control Robotics
ISSN:	2377-3766, 2377-3766
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