Dual-mode Explicit Output-feedback Predictive Control Based on Neural Network Models *
نویسندگان
چکیده
منابع مشابه
Dual-mode Explicit Output-feedback Predictive Control Based on Neural Network Models ⋆
This paper applies an approximate multi-parametric Nonlinear Programming approach to explicitly solve output-feedback Nonlinear Model Predictive Control (NMPC) problems for constrained nonlinear systems described by black-box models. In particular, neural network models are used and the optimal regulation problem is considered. A dual-mode control strategy is employed in order to achieve an off...
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Nonlinear Model Predictive Control (NMPC) algorithms are based on various nonlinear models. Among others, an on-line optimization approach for NMPC based on neural network models can be found in the literature. Nevertheless, NMPC with on-line optimization is time consuming. On the other hand, an explicit solution to the NMPC problem would allow efficient on-line computations as well as verifiab...
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Nonlinear Model Predictive Control (NMPC) algorithms are based on various nonlinear models. A number of on-line optimization approaches for outputfeedback NMPC based on various black-box models can be found in the literature. However, NMPC involving on-line optimization is computationally very demanding. On the other hand, an explicit solution to the NMPC problem would allow efficient on-line c...
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To my family, present and future v ACKNOWLEDGEMENTS My foremost thank goes to my advisor Dr. Anthony Calise. I am greatly indebted to him for his patience and encouragement that carried me on through difficult times, and for his insights and suggestions that helped to shape my research skills. His wisdom and guidance that extend far beyond the contents of this dissertation made it possible for ...
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ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2010
ISSN: 1474-6670
DOI: 10.3182/20100901-3-it-2016.00066