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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 2020 at "Asian Journal of Control"
DOI: 10.1002/asjc.2413
Abstract: In industrial processes, zone control is often applied to some control systems that do not have set‐point control requirements. Zone control involves constraining controlled variables within a range of feasible solutions, so there is a…
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Keywords:
model predictive;
zone control;
margin;
control ... See more keywords
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Published in 2020 at "Asian Journal of Control"
DOI: 10.1002/asjc.2419
Abstract: This paper studies the problem of automatic train operation (ATO) robust nonlinear model predictive control under considering multiple objectives and constraints. After establishing a nonlinear multipoint model with uncertain bounded disturbance, a robust nonlinear model…
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Keywords:
model predictive;
nonlinear model;
model;
train operation ... See more keywords
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Published in 2024 at "Asian Journal of Control"
DOI: 10.1002/asjc.3532
Abstract: This paper investigates a distributed model predictive control strategy for asynchronous nonlinear multiagent systems (MASs) with external disturbances via self‐triggered generators and prediction horizon regulators. First, a shrinking constraint related to the error between the…
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Keywords:
model predictive;
self triggered;
control;
predictive control ... See more keywords
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Published in 2025 at "Asian Journal of Control"
DOI: 10.1002/asjc.3697
Abstract: For the switched systems, the investigation of quantized model predictive security control (MPSC) suffered by denial‐of‐service (DoS) attacks and disturbance with a completely unknown bound is the emphasis of our study. According to whether the…
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Keywords:
model predictive;
control;
disturbance;
quantized model ... See more keywords
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Published in 2025 at "Asian Journal of Control"
DOI: 10.1002/asjc.3725
Abstract: This paper proposes a distributed incremental model predictive control (DIMPC) algorithm for safe and efficient formation control of constrained multiagent systems. The formation problem is firstly formulated in the virtual structure framework. Then an incremental…
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Keywords:
model predictive;
control;
predictive control;
incremental model ... See more keywords
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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…
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Keywords:
model predictive;
control;
controller;
approximate model ... See more keywords
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Published in 2025 at "Asian Journal of Control"
DOI: 10.1002/asjc.3832
Abstract: Roll stabilization is an important topic for improving the sea‐keeping capabilities of ships. As the most effect anti‐rolling equipment, fin stabilizers are broadly used to reduce ship rolling. Nevertheless, the time‐varying uncertainties and nonlinearities in…
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Keywords:
model predictive;
control;
predictive control;
improvement experimental ... See more keywords
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Published in 2025 at "Asian Journal of Control"
DOI: 10.1002/asjc.3843
Abstract: As a typical MIMO underactuated nonlinear system, a quadrotor is highly sensitive to both its internal states and external disturbances. To ensure a stable flight and precise trajectory tracking under strict state and input constraints,…
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Keywords:
model predictive;
control;
quadrotor;
predictive control ... See more keywords
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Published in 2018 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.3881
Abstract: A novel distributed model predictive control algorithm for continuous-time nonlinear systems is proposed in this paper. Contraction theory is used to estimate the prediction error in the algorithm, ...
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Keywords:
model predictive;
control;
predictive control;
contraction theory ... See more keywords
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Published in 2018 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.4409
Abstract: Existing stabilizing conditions that employ a terminal cost and constraint that, if satisfied, ensure stability and recursive feasibility for deterministic, robust and stochastic model predictive control are briefly reviewed and analysed. It is pointed out…
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Keywords:
model predictive;
control stabilizing;
stabilizing conditions;
control ... See more keywords