[HTML][HTML] Polytopic LPV approaches for intelligent automotive systems: State of the art and future challenges
With more and more stringent requirements on driving comfort, safety and fuel economy,
polytopic LPV approaches have become popular in intelligent automotive control systems …
polytopic LPV approaches have become popular in intelligent automotive control systems …
Model predictive control design for linear parameter varying systems: A survey
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 …
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 …
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
This survey presents recent research on determining control-theoretic properties and
designing controllers with rigorous guarantees using semidefinite programming and for …
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 …
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
Gearboxes often operate under variable speed condition which makes the collected
vibration signal, a widely employed type of condition monitoring data, becomes non …
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
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 …
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 …
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
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 …
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 …
Deriving such a model poses issues of parameterization, estimation, and validation of the …