Results 91 to 100 of about 33,284,379 (304)
Data-Driven Predictive Control Applied to Gear Shifting for Heavy-Duty Vehicles
Energies, 2018 In this paper, the data-driven predictive control method is applied to the clutch speed tracking control for the inertial phase of the shift process.
Xinxin Zhao, Zhijun Li
doaj +1 more source
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Offset–free data–driven predictive control
, 2023 This paper presents a tutorial overview of model predictive control (MPC), subspace predictive control (SPC) and data-enabled predictive control (DeePC), with emphasis on offset-free design.
Verheijen, P.C.N., Lazar, M.
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Algebraic approach to synthesis of data-driven control design for dissipativity
SICE Journal of Control, Measurement, and System IntegrationModel-based control methods play an important role in control theory. Such controllers are designed via system identification; however, this approach is not applicable to cases where it is difficult to execute system identification owing to the large ...
Yuki Tanaka +2 more
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Efficient data-driven predictive control of nonlinear systems: A review and perspectives
Digital Chemical EngineeringModel predictive control (MPC) has become a key tool for optimizing real-time operations in industrial systems and processes, particularly to enhance performance, safety, and resilience.
Xiaojie Li +5 more
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From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
A review on data-driven linear parameter-varying modeling approaches: A high-purity distillation column case study [PDF]
, 2014 Model-based control strategies are widely used for optimal operation of chemical processes to respond to the increasing performance demands in the chemical industry.
Bachnas, A.A. +8 more
core +1 more source
Tube-Based Zonotopic Data-Driven Predictive Control
, 2023 We present a novel tube-based data-driven predictive control method for linear systems affected by a bounded addictive disturbance. Our method leverages recent results in the reachability analysis of unknown linear systems to formulate and solve a robust
Proutiere, Alexandre,, Russo, Alessio,
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Data‐driven dual‐loop control for platooning mixed human‐driven and automated vehicles
IET Intelligent Transport SystemsThis paper considers controlling automated vehicles (AVs) to form a platoon with human‐driven vehicles (HVs) under consideration of unknown HV model parameters and propulsion time constants. The proposed design is a data‐driven dual‐loop control strategy
Jianglin Lan
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Data-Driven Control Design for Complex Systems: Theory, Challenges, and Novel Applications
Sukkur IBA Journal of Computing and Mathematical SciencesThis paper examines the switch from model-based to data-driven control systems, providing an overview of the challenges encountered and the potential solutions.
Chandar Kumar +4 more
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