[HTML][HTML] Polytopic LPV approaches for intelligent automotive systems: State of the art and future challenges

P Li, AT Nguyen, H Du, Y Wang, H Zhang - Mechanical Systems and Signal …, 2021 - Elsevier
With more and more stringent requirements on driving comfort, safety and fuel economy,
polytopic LPV approaches have become popular in intelligent automotive control systems …

Model predictive control design for linear parameter varying systems: A survey

MM Morato, JE Normey-Rico, O Sename - Annual Reviews in Control, 2020 - Elsevier
Motivated by the fact that many nonlinear plants can be represented through Linear
Parameter Varying (LPV) embedding, and being this framework very popular for control …

Nonlinear system identification: A user-oriented road map

J Schoukens, L Ljung - IEEE Control Systems Magazine, 2019 - ieeexplore.ieee.org
Nonlinear system identification is an extremely broad topic, since every system that is not
linear is nonlinear. That makes it impossible to give a full overview of all aspects of the fi eld …

Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey

T Martin, TB Schön, F Allgöwer - Annual Reviews in Control, 2023 - Elsevier
This survey presents recent research on determining control-theoretic properties and
designing controllers with rigorous guarantees using semidefinite programming and for …

Global identification of a low-order lumped-parameter thermal network for permanent magnet synchronous motors

O Wallscheid, J Böcker - IEEE Transactions on Energy …, 2015 - ieeexplore.ieee.org
Monitoring critical temperatures in permanent magnet synchronous motors (PMSM) is
essential to prevent device failures or excessive motor life-time reduction due to thermal …

A sparse multivariate time series model-based fault detection method for gearboxes under variable speed condition

Y Chen, MJ Zuo - Mechanical Systems and Signal Processing, 2022 - Elsevier
Gearboxes often operate under variable speed condition which makes the collected
vibration signal, a widely employed type of condition monitoring data, becomes non …

[HTML][HTML] A time series model-based method for gear tooth crack detection and severity assessment under random speed variation

Y Chen, S Schmidt, PS Heyns, MJ Zuo - Mechanical Systems and Signal …, 2021 - Elsevier
In industry (eg, wind power), gearboxes often operate under random speed variations. A
condition monitoring system is expected to detect faults and assess their severity using …

Fading Kalman filter-based real-time state of charge estimation in LiFePO4 battery-powered electric vehicles

KC Lim, HA Bastawrous, VH Duong, KW See, P Zhang… - Applied Energy, 2016 - Elsevier
A novel online estimation technique for estimating the state of charge (SoC) of a lithium iron
phosphate (LiFePO 4) battery has been developed. Based on a simplified model, the open …

A review on data-driven linear parameter-varying modeling approaches: A high-purity distillation column case study

AA Bachnas, R Tóth, JHA Ludlage, A Mesbah - Journal of Process Control, 2014 - Elsevier
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 …

Direct data-driven control of constrained systems

D Piga, S Formentin… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In model-based control design, one often has to describe the plant by a linear model.
Deriving such a model poses issues of parameterization, estimation, and validation of the …