Results 51 to 60 of about 7,719 (160)
Motivated by the emergent reasoning capabilities of Vision Language Models (VLMs) and their potential to improve the comprehensibility of autonomous driving systems, this paper introduces a closed-loop autonomous driving controller called VLM-MPC, which combines the Model Predictive Controller (MPC) with VLM to evaluate how model-based control could ...
Keke Long +3 more
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Extremum Seeking-based Iterative Learning Model Predictive Control (ESILC-MPC)
In this paper, we study a tracking control problem for linear time-invariant systems, with model parametric uncertainties, under input and states constraints. We apply the idea of modular design introduced in Benosman et al. 2014, to solve this problem in the model predictive control (MPC) framework.
Anantharaman Subbaraman +1 more
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Model predictive control in light naphtha distillation column of gasoline hydrogenation process
The main scope of this research is for designing and implementing of model predictive control (MPC) on the light naphtha distillation column of gasoline hydrogenation process.
Kornkrit Chiewchanchairat +2 more
doaj +1 more source
Effectiveness and safety of a model predictive control (MPC) algorithm for an artificial pancreas system in outpatients with type 1 diabetes (T1D): systematic review and meta-analysis. [PDF]
Kang SL, Hwang YN, Kwon JY, Kim SM.
europepmc +1 more source
An MPC-driven VSL control of motorway traffic by employing a continuum second-order traffic model
Variable speed limit (VSL) system driven by model predictive control (MPC) is implemented as a proactive traffic control measure for effective and safer traffic flow operations.
Waheed Imran +4 more
doaj +1 more source
Model predictive control (MPC) has become one of the most promising control strategies in the field of electric vehicle energy management due to its rolling optimization and explicit constraint processing capabilities.
Xiaohuan Zhao +5 more
doaj +1 more source
Economic and Distributed Model Predictive Control: Recent Developments in Optimization-Based Control
The goal of this paper is to give an overview of some recent developments in the field of model predictive control. After a brief introduction to the basic concepts and available stability results, we in particular set our focus on the areas of ...
Matthias A. Müller +1 more
doaj +1 more source
QSID-MPC: Model Predictive Control With System Identification From Quantized Data
Least-square system identification is widely used for data-driven model-predictive control (MPC) of unknown or partially known systems. This letter investigates how the system identification and subsequent MPC is affected when the state and input data is quantized. Specifically, we examine the fundamental connection between model error and quantization
Shahab Ataei +2 more
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Aiming at the problem of system controller performance failure caused by improperly setting the value of each weighting coefficient of the model predictive control (MPC), a fractional-order MPC strategy with Takagi–Sugeno fuzzy optimization (T–SFO MPC ...
Qianjie Liu +6 more
doaj +1 more source
Safety Risk Management In Large Scale Engineering Based On Model Predictive Control
Safety risk during the construction of a Large Scale Engineering (LSE) project can be avoided through safety education, following a correct procedure and using an engineering method. In order to ensure that LSE works in a safe state, some parameters need
Jianfeng Qiao
doaj +1 more source

