Results 11 to 20 of about 23,175 (239)
Learning Disturbance Models for Offset-Free Reference Tracking
IEEE Transactions on Automatic ControlThis work presents a nonlinear control framework that guarantees asymptotic offset-free tracking of generic reference trajectories by learning a nonlinear disturbance model, which compensates for input disturbances and model-plant mismatch. Our approach generalizes the well-established method of using an observer to estimate a constant disturbance to ...
Pablo Krupa +2 more
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Nihon Kikai Gakkai ronbunshu, 2017 This study proposes a movement control system based on model predictive control (MPC) with state expressed identity disturbance observer (DOB). The proposed controller removes tracking errors of control variables due to disturbance influences.
Takashi OHHIRA, Akira SHIMADA
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Energies, 2023 Due to the nonminimum phase characteristics and nonlinearity of boost converters, the control design is always a challenging issue. A novel model predictive control strategy is proposed for the boost converter in this work.
Rongchao Niu, Hongyu Zhang, Jian Song
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IEEE Access, 2022 The novel extreme learning machine (ELM) neural network disturbance observer (NNDO) -based sliding mode control (SMC) strategy is proposed for the precise tracking control of a hypersonic vehicle (HV) under various disturbance situations.
Haiyan Gao, Weiqiang Tang, Rong Fu
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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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Linear Offset-Free Model Predictive Control in the Dynamic PLS Framework
Information, 2018 This work addresses the model predictive control (MPC) of the offset-free tracking problem in the dynamic partial least square (DyPLS) framework. Firstly, state space MPC based on the DyPLS is proposed.
Ligang Hou, Ze Wu, Xin Jin, Yue Wang
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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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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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Phase Offset Tracking for Free Space Digital Coherent Optical Communication System
Applied Sciences, 2019 The coherent receiving method can improve the sensitivity of an optical signal receiver for free space optical communication system effectively. To implement coherent receiving, the phase offset between the local laser in the receiver and the received ...
Hongwei Li +5 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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