Results 11 to 20 of about 63,859 (262)
Nonlinear Predictive Control of a Hydropower System Model [PDF]
Entropy, 2015 A six-dimensional nonlinear hydropower system controlled by a nonlinear predictive control method is presented in this paper. In terms of the nonlinear predictive control method; the performance index with terminal penalty function is selected.
Runfan Zhang, Diyi Chen, Xiaoyi Ma
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Economic Nonlinear Model Predictive Control [PDF]
Foundations and Trends® in Systems and Control, 2018 In recent years, Economic Model Predictive Control (EMPC) has received considerable attention of many research groups. The present tutorial survey summarizes state-of-the-art approaches in EMPC. In this context EMPC is to be understood as receding-horizon optimal control with a stage cost that does not simply penalize the distance to a desired ...
Timm Faulwasser +2 more
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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.
Petr Chalupa, Jakub Novák
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Lyapunov-based Model Predictive Control of Nonlinear Quadruple Tank System Using Constrained and Unconstrained Methods [PDF]
International Journal of Research and Technology in Electrical IndustryModel predictive control is a widely utilized advanced control technique in industrial settings, valued for its capacity to effectively manage complex multi-input multi-output processes while optimizing process performance.
Hossein Yektamoghaddam +3 more
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Long-Horizon Nonlinear Model Predictive Control of Modular Multilevel Converters
Energies, 2022 Modular Multilevel Converters (MMCs) are a topology that can scale several voltage levels to obtain higher efficiency and lower harmonics than most voltage-source converters.
Victor Daniel Reyes Dreke, Mircea Lazar
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Nonlinear Predictive Control with a Gaussian Process Model [PDF]
, 2005 Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack of data or its complexity, by indicating the higher variance around the predicted mean.
Jus Kocijan, Roderick Murray-Smith
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Journal of Marine Science and Engineering, 2022 The marine boiler-turbine system is the core part for the steam-powered ships with complicated dynamics. To improve the power tracking performance and fulfill the requirement of high utilization rate of fossil energy, the control performance of the ...
Shiquan Zhao +4 more
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Mathematics, 2023 Controlling an automotive suspension system using an actuator is a complex nonlinear problem that requires both fast and precise solutions in order to achieve optimal performance.
Daniel Rodriguez-Guevara +4 more
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Design and verification of model predictive control for micro-turboshaft engine
Advances in Mechanical Engineering, 2019 In this article, a nonlinear model predictive control algorithm for a micro-turboshaft engine is designed. The control effect is verified by a bench test.
Mengwei Zhang +3 more
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Nonlinear tight formation control of multiple UAVs based on model predictive control
Defence Technology, 2023 A tight formation of unmanned aerial vehicles (UAVs) has many advantages, such as fuel saving and deceiving enemy radar during battlefield entry. As a result, research on UAVs in close formation has received much attention, and the controller design for ...
Ruiping Zheng, Yongxi Lyu
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