Results 131 to 140 of about 7,205 (166)
Some of the next articles are maybe not open access.
Implementation model predictive control (MPC) algorithm-3 for inverted pendulum
2012 IEEE Control and System Graduate Research Colloquium, 2012Model Predictive Control (MPC) is based on the idea to produce control input as a solution to real-time optimization problem. Optimization itself is based on the system model. MPC is used to solve multivariable control problem which has more than one variable that may have significant effect on the process.
Cahyantari Ekaputri +1 more
openaire +1 more source
Model Predictive Control (MPC) for Constrained Nonlinear Systems
1996This thesis addresses the development of stabilizing model predictive control algorithms for nonlinear systems subject to input and state constraints and in the presence of parametric and/or structural uncertainty, disturbances and measurement noise. Our basic model predictive control (MPC) scheme consists of a finite horizon MPC technique with the ...
openaire +1 more source
Advanced model predictive control (MPC) for type I diabetic patient blood glucose control
Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2000Advanced control strategies for delivering insulin to type I diabetic patients are developed. Utilizing the model predictive control (MPC) framework, an asymmetric objective function is tailored to address the inherent performance requirements of the physiological problem.
R.S. Parker, E.P. Gatzke, F.J. Doye
openaire +1 more source
Model predictive control (MPC) performance for controlling reaction systems
2020145
openaire +1 more source
SAE Technical Paper Series
<div class="section abstract"><div class="htmlview paragraph">This paper presents a nonlinear model predictive controller (NMPC) coupled with a pre-trained reinforcement learning (RL) model that can be applied to lateral control tasks for autonomous vehicles.
Muye Jia +6 more
openaire +1 more source
<div class="section abstract"><div class="htmlview paragraph">This paper presents a nonlinear model predictive controller (NMPC) coupled with a pre-trained reinforcement learning (RL) model that can be applied to lateral control tasks for autonomous vehicles.
Muye Jia +6 more
openaire +1 more source
Cervical cancer prevention and control in women living with human immunodeficiency virus
Ca-A Cancer Journal for Clinicians, 2021Philip E Castle, Vikrant V Sahasrabuddhe
exaly
Reduced Switching Frequency Finite Control Set Model Predictive Control (FCS-MPC) for DFIG
2021 Innovations in Power and Advanced Computing Technologies (i-PACT), 2021Youssef Ait Ali +2 more
openaire +1 more source

