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   Articles with "approximate model" as a keyword



Knowledge‐driven approximate model predictive controller with probabilistic performance validation

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recommendations! Published in 2025 at "Asian Journal of Control"

DOI: 10.1002/asjc.3755

Abstract: The aim of approximate model predictive control (MPC) is to alleviate the computational cost by learning an explicit control policy using data generated from offline solutions to MPC problems. However, directly constructing a neural network… read more here.

Keywords: model predictive; control; controller; approximate model ... See more keywords

Application of Newtonian Approximate Model to LIGO Gravitational Wave Data Processing

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recommendations! Published in 2023 at "Chinese Physics B"

DOI: 10.1088/1674-1056/acd8a3

Abstract: With the observation of a series of ground-based laser interferometer gravitational wave (GW) detectors such as LIGO and Virgo, nearly 100 GW events have been detected successively. At present, all detected GW events are generated… read more here.

Keywords: application; gravitational wave; data processing; approximate model ... See more keywords

Fast Error Propagation Probability Estimates by Answer Set Programming and Approximate Model Counting

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3174564

Abstract: We present a method employing Answer Set Programming in combination with Approximate Model Counting for fast and accurate calculation of error propagation probabilities in digital circuits. By an efficient problem encoding, we achieve an input… read more here.

Keywords: model counting; approximate model; set programming; error propagation ... See more keywords

Learning an Approximate Model Predictive Controller With Guarantees

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recommendations! Published in 2018 at "IEEE Control Systems Letters"

DOI: 10.1109/lcsys.2018.2843682

Abstract: A supervised learning framework is proposed to approximate a model predictive controller (MPC) with reduced computational complexity and guarantees on stability and constraint satisfaction. The framework can be used for a wide class of nonlinear… read more here.

Keywords: model predictive; approximate model; controller guarantees; predictive controller ... See more keywords