Optimisation of a Gas-Lifted System with Nonlinear Model Predictive Control
Energies, 2023 A gas-lifted system in a mature oil well can experience casing-heading instability, which reduces the mean oil production and it is not healthy for the downstream equipment.
Ojonugwa Adukwu +2 more
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Echo State Networks: analysis, training and predictive control
, 2019 The goal of this paper is to investigate the theoretical properties, the training algorithm, and the predictive control applications of Echo State Networks (ESNs), a particular kind of Recurrent Neural Networks. First, a condition guaranteeing incremetal
albertini +12 more
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Application of iterative nonlinear model predictive control to a batch pilot reactor [PDF]
, 2005 IFAC WORLD CONGRESS (16) (16.2005.PRAGA, REPÚBLICA CHECA)The aim of this article is to present the Iterative Model Predictive Controller, inmpc, as a good candidate to control chemical batch reactors. The proposed control approach is derived from a model-
Bordons Alba, Carlos, Ramos Cueli, José
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A Real-time MHE and NMPC Scheme for Wind Turbine Control [PDF]
, 2013 Among the several problems arising in the Airborne Wind Energy paradigm, an essential one is the control of the tethered airfoil trajectory during power generation.
Diehl, M., Gros, Sébastien, Vukov, M.
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A Simple and Efficient Algorithm for Nonlinear Model Predictive Control
, 2017 We present PANOC, a new algorithm for solving optimal control problems arising in nonlinear model predictive control (NMPC). A usual approach to this type of problems is sequential quadratic programming (SQP), which requires the solution of a quadratic ...
Patrinos, Panagiotis +3 more
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Nonlinear model predictive control of a wave energy converter based on differential flatness parameterisation [PDF]
, 2015 This paper presents a fast constrained optimization approach, which is tailored for nonlinear model predictive control of wave energy converters (WEC).
Li, G
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Modeling and model predictive control of a nonlinear hydraulic system [PDF]
Computers & Mathematics with Applications, 2013 This paper deals with modeling and control of a hydraulic three tank system. A process of creating a computer model in MATLAB / Simulink environment is described and optimal PID and model predictive controllers are proposed. Modeling starts with creation of an initial mathematical model based on first principles approach.
Chalupa, Petr, Novák, Jakub
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Neural networks for modelling and control of a non-linear dynamic system [PDF]
, 1992 The authors describe the use of neural nets to model and control a nonlinear second-order electromechanical model of a drive system with varying time constants and saturation effects. A model predictive control structure is used.
Murray-Smith, R. +2 more
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Practical Nonlinear Model Predictive Control With Kolmogorov–Arnold Network Models
IEEE AccessThis paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models.
Bernardo Barancelli Schwedersky +1 more
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Model Predictive Control of Non-Linear Systems Using Tensor Flow-Based Models
Applied Sciences, 2020 The present paper proposes an approach for the development of a non-linear model-based predictive controller (NMPC) using a non-linear process model based on Artificial Neural Networks (ANNs).
Rómulo Antão +3 more
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