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precise control » cruise control (Expand Search)
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precise control » cruise control (Expand Search)
predictive » prediction (Expand Search)
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Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
Published 2001“…Model predictive control or MPC can provide robust control for processes with variable gain and dynamics, multivariable interaction, measured loads and unmeasured disturbances. …”
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Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment
Published 2023“…A robust model predictive control strategy, based on the minimax objective function and particle swarm optimisation algorithm, is developed to handle the uncertainties in the system. …”
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Online Fuzzy Logic Base Algorithm for Electricity Price Prediction
Published 2017“…The captured parameters are fed to a fuzzy-logic-based algorithm to calculate electric energy prices. Based on predicted electricity prices, consumers can turn ON/OFF or reschedule operations of their home appliances to reduce their electricity bill. …”
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Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm
Published 2018“…It is based on model predictive power control with space vector modulation. …”
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Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System
Published 2023“…Our approach outperforms existing optimization techniques on benchmark functions, and we demonstrate its effectiveness in controlling cruise control systems with increased flexibility and precision. …”
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Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side
Published 2024“…<p dir="ltr">Inverse model predictive control (IMPC) is a control technique that was recently proposed for power electronic converters. …”
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Auto Takeoff and Precision Landing using Integrated GPS/INS/Optical Flow Solution
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Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control
Published 2021“…The proposed method consists of a multilayer perceptron model representing the greenhouse system integrated with an objective function and an optimization algorithm. The multilayer perceptron model is trained using historical data from the greenhouse with solar radiation, outside temperature, humidity difference, fan speed, HVAC control as the input parameters to predict the temperature. …”
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A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
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Software defect prediction. (c2019)
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Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise
Published 2005“…Arbitrary high precision output tracking is one of the most desirable control objectives found in industrial applications regardless of measurement errors. …”
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A control algorithm to increase the efficient operation of wind energy conversion systems under extreme wind conditions
Published 2022“…Furthermore, the model predictive control (MPC) is proposed to replace the PI controller in the inner current loop of the rotor speed control loop, thereby improving the performance of the stator current track. …”
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Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions
Published 2017“…This paper briefly introduces ongoing research on joint detection, especially for joints with an aperture less than 0.125in (3.175mm), by employing an instrumented roof bolter in controlled environments. To improve the capability and precision of joint detection programs in detecting the joints from the drilling data and reducing the number of false alarms, many laboratory tests with various simulated joints and rock-strengths were carried out at a J.H. …”
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