Results 31 to 40 of about 263,923 (197)
IEEE Access, 2020 Autonomous shipping refers to the ability of a ship to independently control its own actions while transporting cargo from one port to another, which places higher requirements on ship motion control methods. When a ship enters a port, it is important to
Shijie Li +3 more
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Nonlinear model predictive control for thermal management in plug-in hybrid electric vehicles [PDF]
, 2017 © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
López Sanz, Jorge +4 more
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Learning-based Nonlinear Model Predictive Control
IFAC-PapersOnLine, 2017 This paper presents stabilizing Model Predictive Controllers (MPC) in which prediction models are inferred from experimental data of the inputs and outputs of the plant. Using a nonparametric machine learning technique called LACKI, the estimated (possibly nonlinear) model function together with an estimation of Holder constant is provided.
Limon, D, Calliess, J-P, Maciejowski, JM
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IEEE Access, 2019 This paper proposes a vehicle stability control approach based on time-varying model predictive control to enhance the handling and stability of active front steering vehicle at the vehicle dynamics limits.
Shaosong Li +4 more
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Statistical Machine Learning in Model Predictive Control of Nonlinear Processes
Mathematics, 2021 Recurrent neural networks (RNNs) have been widely used to model nonlinear dynamic systems using time-series data. While the training error of neural networks can be rendered sufficiently small in many cases, there is a lack of a general framework to ...
Zhe Wu +3 more
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IEEE Access, 2019 This paper investigates a nonlinear-model-predictive-control (NMPC)-strategy-based distributed leader-follower consensus multi-robot formation system. The control objective of this system is to design a group of nonholonomic robots to converge into the ...
Hanzhen Xiao, C. L. P. Chen
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Feature-Based MPPI Control with Applications to Maritime Systems
Machines, 2022 In this paper, a novel feature-based sampling strategy for nonlinear Model Predictive Path Integral (MPPI) control is presented. Using the MPPI approach, the optimal feedback control is calculated by solving a stochastic optimal control (OCP) problem ...
Hannes Homburger +3 more
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Predictive pole-placement control with linear models [PDF]
, 2002 The predictive pole-placement control method introduced in this paper embeds the classical pole-placement state feedback design into a quadratic optimisation-based model-predictive formulation. This provides an alternative to model-predictive controllers
Gawthrop, P.J., Ronco, E.
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Applications of recurrent neural networks in batch reactors. Part II: Nonlinear inverse and predictive control of the heat transfer fluid temperature [PDF]
, 1998 Although nonlinear inverse and predictive control techniques based on artificial neural networks have been extensively applied to nonlinear systems, their use in real time applications is generally limited.
Galván, Inés M., Zaldívar, J.M.
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Offset-free nonlinear Model Predictive Control with state-space process models
Archives of Control Sciences, 2017 Offset-free model predictive control (MPC) algorithms for nonlinear state-space process models, with modeling errors and under asymptotically constant external disturbances, is the subject of the paper. The main result of the paper is the presentation of
Tatjewski Piotr
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