Automatic weight determination in model predictive control for personalized car-following control
Car-following control is a fundamental application of autonomous driving. This control has
multiple objectives, including tracking a safe distance to a preceding vehicle and enhancing …
multiple objectives, including tracking a safe distance to a preceding vehicle and enhancing …
Hands-on MPC tuning for industrial applications
C Ionescu, D Copot - Bulletin of the Polish Academy of Sciences …, 2019 - yadda.icm.edu.pl
This paper proposes a practical tuning of closed loops with model based predictive control.
The data assumed to be known from the process is the result of the bump test commonly …
The data assumed to be known from the process is the result of the bump test commonly …
An MPC auto-tuning framework for tracking economic goals of an ESP-lifted oil well
This paper proposes a novel economic requirements-oriented online tuning strategy for
MPC, the design of which encompasses the well-known operational particularities of oil …
MPC, the design of which encompasses the well-known operational particularities of oil …
On-chip programmable capture for accurate path delay test and characterization
The increasing gap between modern chip frequencies and test clock frequencies provided
by external test equipment, makes at-speed delay testing a challenge. We present a novel …
by external test equipment, makes at-speed delay testing a challenge. We present a novel …
Dynamical tuning for MPC using population games: A water supply network application
Abstract Model predictive control (MPC) is a suitable strategy for the control of large-scale
systems that have multiple design requirements, eg, multiple physical and operational …
systems that have multiple design requirements, eg, multiple physical and operational …
Design of a self-tuning adaptive model predictive controller using recursive model parameter estimation for real-time plasma variable control
The semiconductor etching process, which is the most important part of the semiconductor
manufacturing process, requires higher sophistication as 10 nm semiconductors are mass …
manufacturing process, requires higher sophistication as 10 nm semiconductors are mass …
An automatic tuning method for model predictive control strategies
The proposed auto-tuning method is a layer of receding horizon optimization problem
whose objective function is able to consider the performance/robustness through the trade …
whose objective function is able to consider the performance/robustness through the trade …
A novel tuning approach for offset-free mpc
Since the beginnings in the chemical and process industry, model based predictive control
strategies have become widely accepted. Often mentioned success factors for MPC are the …
strategies have become widely accepted. Often mentioned success factors for MPC are the …
[PDF][PDF] Code generation for model predictive control of embedded systems
JPM Zometa - 2017 - opendata.uni-halle.de
Despite many conceptual and theoretical advances, the systematic use of advanced control
approaches for constrained system in industrial applications is still limited [1]. Often simpler …
approaches for constrained system in industrial applications is still limited [1]. Often simpler …
Robust autotuning MPC for a class of process control applications
This paper introduces a robust methodology for autotuning design parameters in the EPSAC
(Extended Prediction Self-Adaptive Control) approach to MPC (Model based Predictive …
(Extended Prediction Self-Adaptive Control) approach to MPC (Model based Predictive …