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Published in 2025 at "AIChE Journal"
DOI: 10.1002/aic.70141
Abstract: This paper proposes an offset‐free model predictive control (MPC) framework for nonlinear systems modeled using neural network‐based nonlinear autoregressive models with exogenous inputs (NARX). To address plant‐model mismatch and ensure offset‐free tracking, the NARX model…
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Keywords:
model predictive;
offset free;
predictive control;
model ... See more keywords
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Published in 2018 at "Control Engineering Practice"
DOI: 10.1016/j.conengprac.2017.10.010
Abstract: Abstract In this paper an offset-free model predictive control scheme is presented for fractional-order systems using the Grunwald–Letnikov derivative. The infinite-history fractional-order system is approximated by a finite-dimensional state-space system and the modeling error is…
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Keywords:
model predictive;
order;
fractional order;
offset free ... See more keywords
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Published in 2021 at "Fuel"
DOI: 10.1016/j.fuel.2020.119074
Abstract: Abstract Due to tightened regulations on sulfur oxide ( SO x ) and nitrogen oxide ( NO x ) emissions, especially, in the ocean industry, liquefied natural gas (LNG) is becoming more important as an…
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Keywords:
lng;
predictive control;
offset free;
pressure ... See more keywords
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Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.357
Abstract: Abstract Economic model predictive control formulations that combine online optimizing control with offset-free methodologies such as modifier adaptation have been proposed recently. These new algorithms are able to achieve asymptotic optimal performance despite the presence…
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Keywords:
modifier adaptation;
economic mpc;
offset free;
estimation ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3150049
Abstract: Impulsive control systems have shown strong potential to represent and address challenging problems, especially in the biomedical field. In recent research, these problems have been tackled with advances in linear impulsive control systems. However, many…
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Keywords:
nonlinear impulsive;
control systems;
offset free;
control ... See more keywords
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Published in 2024 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2025.3547607
Abstract: This article addresses the maximum likelihood identification of models for offset-free model predictive control, where linear time-invariant models are augmented with (fictitious) uncontrollable integrating modes, called integrating disturbances. The states and disturbances are typically estimated…
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Keywords:
likelihood identification;
control;
offset free;
integrating disturbances ... See more keywords
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Published in 2022 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2022.3168493
Abstract: In the explicit model predictive control (EMPC), memory increases exponentially with the number of states, inputs, constraints, and prediction horizons; this often limits its applicability to large systems. In this article, we present a novel…
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Keywords:
offset free;
memory;
explicit model;
memory efficient ... See more keywords
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Published in 2024 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2024.3384525
Abstract: The stochastic uncertainty of wind speed presents a significant challenge for ensuring reliable power control in wind energy conversion system (WECS). Stochastic model predictive control (SMPC) emerges as a promising strategy for WECS, leveraging its…
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Keywords:
wind;
energy conversion;
offset free;
wind energy ... See more keywords
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Published in 2024 at "IEEE Transactions on Power Electronics"
DOI: 10.1109/tpel.2024.3363010
Abstract: Operating cascaded H-bridge (CHB) static compensators (StatCom) at low dc capacitor voltages reduces voltage stress on submodule capacitors and switching semiconductors, resulting in enhanced system reliability and reduced power loss. Understanding the minimum allowable value…
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Keywords:
voltage operation;
cascaded bridge;
capacitor;
offset free ... See more keywords
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Published in 2025 at "IEEE Transactions on Transportation Electrification"
DOI: 10.1109/tte.2024.3439023
Abstract: This article addresses the problem of energy-efficient driving of autonomous electric vehicles with economic performance and desired tracking effect. To handle the issue, an economic model predictive control (EMPC) algorithm with adaptive sampling and offset-free…
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Keywords:
sampling offset;
autonomous electric;
offset free;
electric vehicles ... See more keywords