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A Robust MPC for Input-Output LPV Models
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
In this note, a discrete-time robust model predictive control (MPC) design approach is proposed to control systems described by linear parameter-varying models in input-output form subject to constraints. To ensure the ...
A Bayesian Approach for LPV Model Identification and Its Application to Complex Processes
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
Obtaining mathematical models that can accurately describe nonlinear dynamics of complex processes and be further used for model-based control design is a challenging task. In this brief, a Bayesian approach is introduced ...
Stochastic model predictive tracking of piecewise constant references for LPV systems
(
Institution of Engineering and Technology
, 2017 , Article)
This study addresses a stochastic model predictive tracking problem for linear parameter-varying (LPV) systems described by affine parameter-dependent state-space representations and additive stochastic uncertainties. The ...
A Kernel-Based PCA Approach to Model Reduction of Linear Parameter-Varying Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
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 are affine or rational in the scheduling variables ...