Robust Nonlinear Model Predictive Control for Ship Dynamic Positioning Using Laguerre Function
IEEE Access, 2022 This paper is devoted to the issue of computationally efficient and robust nonlinear model predictive control (NMPC) for ship dynamic positioning (DP) systems subjected to input constraints and unknown environmental disturbances.
Xiuhui Hou +5 more
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Design and Application of Offset-Free Model Predictive Control Disturbance Observation Method [PDF]
Journal of Control Science and Engineering, 2016 Model predictive control (MPC) with its lower request to the mathematical model, excellent control performance, and convenience online calculation has developed into a very important subdiscipline with rich theory foundation and practical application ...
Xue Wang +3 more
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Offset-free control of a pH system using Multiple Model Predictive Control [PDF]
, 2020 In this paper, a novel combination of a multi-model predictive controller (MMPC) and an adaptive integral controller is usedto achieve offset-free control of a nonlinear process. The idea is to avoid the more complex tuning that comes with an offset-free
Hermansson, A. W.; id_orcid, Syafiie, S.
core +1 more source
Energies, 2020 This paper presents an offset-free global tracking control algorithm for the input-constrained plants modeled as controllable and open-loop strictly stable linear time invariant (LTI) systems.
Kyunghwan Choi +2 more
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Integrated approach to AUV docking based on nonlinear offset-free model predictive control
Measurement + Control, 2023 This study proposes an integrated docking approach for autonomous underwater vehicle (AUV), which directly generate control force and torque from visual guidance features to drive precise AUV docking.
Kai Shi +4 more
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Multi model predictive control with integral action for distillation column
, 2023 Model Predictive Control (MPC) can be used to achieve offset-free control utilizing an observer. The use of an observer is problematic when the observability is low and may add additional tuning problems. A combined MPC, based on a min-max configuration,
Tannoo, D. +1 more
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Offset-free control of constrained linear discrete-time systems subject to persistent unmeasured disturbances [PDF]
, 2003 This paper addresses the design of a dynamic, nonlinear, time-invariant, state feedback controller that guarantees constraint satisfaction and offset-free control in the presence of unmeasured, persistent, non-stationary, additive disturbances.
PANNOCCHIA, GABRIELE +5 more
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Model Predictive Control – Sliding Mode Control of a pH system
, 2022 This paper studies the feasibility of using discrete sliding mode controller (SMC) to achieve offset-free control of nonlinear processes in the presence of disturbances.
Lim, C. H. +2 more
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A Heuristic Parameter-Dependent Open-Loop Model Predictive Control
IEEE Access, 2021 For the uncertain linear systems described by the linear parameter varying (LPV) model, a parameter-dependent open-loop model predictive control (MPC) is proposed.
Xin Zan, Lu Jin, Jun Wang
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A 2 MS/s Full Bandwidth Hall System with Low Offset Enabled by Randomized Spinning
Sensors, 2022 In this paper, a Hall plate readout with a randomized four-phase spinning-current scheme is proposed. The goal is to remove the maximum number of offset components, including the offset associated with spike demodulation.
Robbe Riem, Johan Raman, Pieter Rombouts
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