Results 11 to 20 of about 23,359 (238)
Offset-free setpoint tracking using neural network controllers
CoRR, 2020 In this paper, we present a method to analyze local and global stability in offset-free setpoint tracking using neural network controllers and we provide ellipsoidal inner approximations of the corresponding region of attraction. We consider a feedback interconnection of a linear plant in connection with a neural network controller and an integrator ...
Patricia Pauli +4 more
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IEEE Access, 2020 This paper addresses the tracking accuracy and robustness enhancement problems of fuzzy model based predictive control (MPC) for a class of nonlinear systems subjecting to lumped disturbances composed of bounded unknown disturbances and a model-plant ...
Jianzhong Zhu, Sing Kiong Nguang
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Single-shot isotropic differential interference contrast microscopy
Nature Communications, 2023 Differential interference contrast (DIC) microscopy allows high-contrast, low-phototoxicity, and label-free imaging of transparent biological objects, and has been applied in the field of cellular morphology, cell segmentation, particle tracking, optical
Xinwei Wang +18 more
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Model predictive control for compliant feed drives with offset-free tracking behavior
Production Engineering, 2023 AbstractIndustrial machine tool feed drives are predominantly controlled by cascade control due to their low tuning complexity and inherent robustness. However, the cascaded structure requires the inner cascades to have higher dynamics than the outer cascades, which limits the achievable dynamic accuracy. Direct control approaches, which substitute the
Valentin Leipe +3 more
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Identification and Optimal Control for Surge and Swab Pressure Reduction While Performing Offshore Drilling Operations [PDF]
Modeling, Identification and Control, 2020 In this paper, an unscented Kalman filter coupled with a nonlinear model-predictive controller for a hydraulic wellbore model with multi-variable control and tracking is presented. In a wellbore, high drill string velocities in operational sequences such
Njål Tengesdal, Christian Holden
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IET Control Theory & Applications, 2022 This paper develops a novel observer‐based robust tracking predictive controller for discrete‐time nonlinear affine systems capable of dealing with changing setpoints and non‐additive non‐slowly varying unknown disturbance with bounded variations.
Abbas Zamani, Hossein Bolandi
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Robust Explicit Moving Horizon Control and Estimation: A Batch Polymerization Case Study [PDF]
Modeling, Identification and Control, 2009 This paper focuses on the design and evaluation of a robust explicit moving horizon controller and a robust explicit moving horizon estimator for a batch polymerization process.
Dan Sui, Le Feng, Morten Hovd
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2021 American Control Conference (ACC), 2021 The implementation of nonlinear model predictive control (NMPC) in applications with fast dynamics remains an open challenge due to the need to solve a potentially non-convex optimization problem in real-time. The offline approximation of NMPC laws using deep learning has emerged as a powerful framework for overcoming these challenges in terms of speed
Kimberly J. Chan +2 more
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IEEE Access, 2021 In this paper, a practical model predictive control (MPC) for tracking desired reference trajectories is demonstrated for controlling a class of nonlinear systems subject to constraints, which comprises diverse mechanical applications.
Hossam S. Abbas +4 more
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IEEE Access, 2018 This paper presents a linear mismatched model-based offset-free model-predictive control approach for nonlinear systems (also suits for mismatched linear systems) with both bounded stochastic and deterministic disturbances.
Lantao Xie, Hongye Su, Shan Lu, Lei Xie
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