A review on data-driven linear parameter-varying modeling approaches: A high-purity distillation column case study
Abstract Model-based control strategies are widely used for optimal operation of chemical
processes to respond to the increasing performance demands in the chemical industry. Yet …
processes to respond to the increasing performance demands in the chemical industry. Yet …
Manual control cybernetics: State-of-the-art and current trends
Manual control cybernetics aims to understand and describe how humans control vehicles
and devices using mathematical models of human control dynamics. This “cybernetic …
and devices using mathematical models of human control dynamics. This “cybernetic …
A survey of linear parameter-varying control applications validated by experiments or high-fidelity simulations
C Hoffmann, H Werner - IEEE Transactions on Control Systems …, 2014 - ieeexplore.ieee.org
This paper provides a survey of results in linear parameter-varying (LPV) control that have
been validated by experiments and/or high-fidelity simulations. The LPV controller synthesis …
been validated by experiments and/or high-fidelity simulations. The LPV controller synthesis …
[图书][B] Modeling and identification of linear parameter-varying systems
R Tóth - 2010 - books.google.com
Through the past 20 years, the framework of Linear Parameter-Varying (LPV) systems has
become a promising system theoretical approach to handle the control of mildly nonlinear …
become a promising system theoretical approach to handle the control of mildly nonlinear …
Building modeling as a crucial part for building predictive control
Recent results show that a predictive building automation can be used to operate buildings
in an energy and cost effective manner with only a small retrofitting requirements. In this …
in an energy and cost effective manner with only a small retrofitting requirements. In this …
Joint iterative state and parameter estimation for bilinear systems with autoregressive noises via the data filtering
This paper proposes a novel iterative algorithm for the joint state and parameter estimation
of bilinear state–space systems disturbed by colored noise. Estimating the states and …
of bilinear state–space systems disturbed by colored noise. Estimating the states and …
Refined instrumental variable methods for identification of LPV Box–Jenkins models
The identification of linear parameter-varying systems in an input–output setting is
investigated, focusing on the case when the noise part of the data generating system is an …
investigated, focusing on the case when the noise part of the data generating system is an …
Quasi-LPV modeling, identification and control of a twin rotor MIMO system
This paper describes the quasi-linear parameter varying (quasi-LPV) modeling,
identification and control of a Twin Rotor MIMO System (TRMS). The non-linear model of the …
identification and control of a Twin Rotor MIMO System (TRMS). The non-linear model of the …
Data-driven predictive control for linear parameter-varying systems
Based on the extension of the behavioral theory and the Fundamental Lemma for Linear
Parameter-Varying (LPV) systems, this paper introduces a Data-driven Predictive Control …
Parameter-Varying (LPV) systems, this paper introduces a Data-driven Predictive Control …
Model predictive control for a linear parameter varying model of an UAV
L Cavanini, G Ippoliti, EF Camacho - Journal of Intelligent & Robotic …, 2021 - Springer
This paper presents a Model Predictive Control (MPC) based autopilot for a fixed-wing
Unmanned Aircraft Vehicle (UAV) for meteorological data sampling tasks, named …
Unmanned Aircraft Vehicle (UAV) for meteorological data sampling tasks, named …