This survey presents recent research on determining control-theoretic properties and
designing controllers with rigorous guarantees using semidefinite programming and for …

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 …

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 …

An adaptive Kalman filter is proposed in this paper for actuator fault diagnosis in discrete
time stochastic time varying systems. By modeling actuator faults as parameter changes …

Based on the Fundamental Lemma by Willems et al., the entire behaviour of a Linear Time-
Invariant (LTI) system can be characterised by a single data sequence of the system as long …

A common problem in the context of linear parameter-varying (LPV) systems is how input-
output (IO) models can be efficiently realized in terms of state-space (SS) representations …

In many control applications, it is attractive to describe nonlinear (NL) and time-varying (TV)
plants by linear parameter-varying (LPV) models and design controllers based on such …

This paper presents a new state-space model interpolation of local estimates technique to
compute linear parameter-varying (LPV) models for parameter-dependent systems using a …

This paper describes a new robust model predictive control (MPC) scheme to control the
discrete‐time linear parameter‐varying input‐output models subject to input and output …

This brief presents a model reduction method for linear parameter-varying (LPV) systems
using kernel-based principal component analysis (PCA). For state-space LPV models that …