Results 21 to 30 of about 715,052 (314)

A Comparison of Finite Control Set and Continuous Control Set Model Predictive Control Schemes for Model Parameter Mismatch in Three-Phase APF

Frontiers in Energy Research, 2021
Model predictive control (MPC) methods are widely used in the power electronic control field, including finite control set model predictive control (FCS-MPC) and continuous control set model predictive control (CCS-MPC).
Jianfeng Yang, Yang Liu, Rui Yan
doaj   +1 more source

Energy-Optimal Adaptive Control Based on Model Predictive Control

Sensors, 2023
Energy-optimal adaptive cruise control (EACC) is becoming increasingly popular due to its ability to save energy. Considering the negative impacts of system noise on the EACC, an improved modified model predictive control (MPC) is proposed, which ...
Yuxi Li, Gang Hao
doaj   +1 more source

A new optimization algotithm with application to nonlinear MPC [PDF]

Modeling, Identification and Control, 2005
This paper investigates application of SQP optimization algorithm to nonlinear model predictive control. It considers feasible vs. infeasible path methods, sequential vs. simultaneous methods and reduced vs full space methods.
Frode Martinsen, Lorentz T. Biegler, Bjarne A. Foss   +2 more
doaj   +1 more source

Gaussian process model based predictive control [PDF]

, 2003
Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of non-linear dynamic systems. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack ...
Kocijan, J., R. Murray-Smith, C.E. Rasmussen, Rasmussen, C., ,, Carl Edward Rasmussen, Rasmussen, C.E., Agathe Girard, Juš Kocijan, Girard, A., Rasmussen, CE, A. Girard, Murray-Smith, R., Kocijan, J, Roderick Murray-Smith, J. Kocijan, Girard, A, Murray Smith, R   +17 more
core   +1 more source

Nonlinear model predictive control for the ALSTOM gasifier. [PDF]

, 2006
In this work a nonlinear model predictive control based on Wiener model has been developed and used to control the ALSTOM gasifier. The 0% load condition was identified as the most difficult case to control among three operating conditions.
Al-Seyab, Rihab, Cao, Y, Cao, Yi, Al Seyab, Rihab Khalid Shakir   +3 more
core   +1 more source

Interval Model Predictive Control [PDF]

IFAC Proceedings Volumes, 2000
Model Predictive Control is one of the most popular control strategy in the process industry. One of the reason for this success can be attributed to the fact that constraints and uncertainties can be handled. There are many techniques based on interval mathematics that are used in a wide range of applications.
Burgos Bravo, José Miguel, Varet, C.G., Camacho, Eduardo F.   +2 more
openaire   +3 more sources

The extended model predictive-sliding mode control of three-level AC/DC power converters with output voltage and load resistance variations

Systems Science & Control Engineering, 2021
In the proposed approach, an Extended Model Predictive Sliding Mode Controller (EMPSMC) is designed to control Three-Level Ac/Dc Power Converters to achieve improved dynamic performance and better. Steady-state stability.
Muhammad Jamshed Abbas, Sohail Khalid, Muhammad Awais, Muhammad Abdul Rahman, Samir Brahim Belhaouari   +4 more
doaj   +1 more source

Lyapunov-based Model Predictive Control of Nonlinear Quadruple Tank System Using Constrained and Unconstrained Methods [PDF]

International Journal of Research and Technology in Electrical Industry
Model 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, Seyed Hamed Jalalzad Mahvizani, Amirhossein Nikoofard, Mohammad Reza Salehizadeh   +3 more
doaj   +1 more source

Model Predictive Control of CMSMPR Crystalliser

Chemical Engineering Transactions, 2023
One of the most critical components of the chemical industry in terms of crystallisation is the pharmaceutical sector. Most medicine components are expensive and require complex processes for their production, so producing waste is highly inefficient ...
Laszlo Balogh, Attila Egedy, Agnes Barkanyi   +2 more
doaj   +1 more source

Recurrent Model Predictive Control

CoRR, 2021
arXiv admin note: substantial text overlap with arXiv:2102 ...
Zhengyu Liu, Jingliang Duan, Wenxuan Wang 0004, Shengbo Eben Li, Yuming Yin, Ziyu Lin, Qi Sun 0004, Bo Cheng 0003   +7 more
openaire   +3 more sources