Results 41 to 50 of about 1,731,578 (336)
Nominal Model-Predictive Control [PDF]
, 2013 Model Predictive Control is a controller design method which synthesizes a sampled data feedback controller from the iterative solution of open loop optimal control problems.We describe the basic functionality of MPC controllers, their properties regarding feasibility, stability and performance and the assumptions needed in order to rigorously ensure ...
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Research on predictive control for mine high-pressure three-level ANPC inverter
Gong-kuang zidonghua, 2016 A predictive control program for mine high-pressure three-level ANPC inverter based on predictive model control was proposed. The program uses current predictive control to achieve three-level ANPC high dynamic performance and unity power factor control,
YU Jing, MO Xiuquan, XU Na
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Analysis of explicit model predictive control for path-following control. [PDF]
PLoS ONE, 2018 In this paper, explicit Model Predictive Control(MPC) is employed for automated lane-keeping systems. MPC has been regarded as the key to handle such constrained systems.
Junho Lee, Hyuk-Jun Chang
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Hybrid Data-Enabled Predictive Control: Incorporating Model Knowledge Into the DeePC
IEEE Open Journal of Control SystemsPredictive control can either be data-based (e.g. data-enabled predictive control, or DeePC) or model-based (model predictive control). In this paper we aim to bridge the gap between the two by investigating the case where only a partial model is ...
Jeremy D. Watson
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Data Driven Economic Model Predictive Control
Mathematics, 2018 This manuscript addresses the problem of data driven model based economic model predictive control (MPC) design. To this end, first, a data-driven Lyapunov-based MPC is designed, and shown to be capable of stabilizing a system at an unstable equilibrium ...
Masoud Kheradmandi, Prashant Mhaskar
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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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Overview of Predictive Control Technology for Permanent Magnet Synchronous Motor Systems
Applied Sciences, 2023 Permanent magnet synchronous motors (PMSMs) are commonly used in the automation industry. With the speedy development of digital system processors, predictive control as a modern control scheme has been applied to improve the dynamic performance and work
Jingyao Peng, Ming Yao
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Preconditioned Continuation Model Predictive Control
, 2015 Model predictive control (MPC) anticipates future events to take appropriate control actions. Nonlinear MPC (NMPC) describes systems with nonlinear models and/or constraints. A Continuation/GMRES Method for NMPC, suggested by T. Ohtsuka in 2004, uses the
Fujii, Yuta +2 more
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Nonlinear model predictive control for hydrogen production in an ethanol steam reformer with membrane separation [PDF]
, 2016 © 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 ...
Llorca Piqué, Jordi +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source