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Embedding of nonlinear systems in a linear parameter-varying representation
(
IFAC Secretariat
, 2014 , Conference Paper)
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conversion ...
Event-triggered fault detection for discrete-time LPV systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this paper, a new event-triggering mechanism is proposed for the problem of fault detection (FD) in discrete-time linear parameter-varying (LPV) systems. A parameter-dependent event-based observer is designed as the ...
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 ...
Stochastic model predictive control for LPV systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
This paper considers a stochastic model predictive control of linear parameter-varying (LPV) systems described by affine parameter dependent state-space representations with additive stochastic uncertainties and probabilistic ...
Event-triggered control for discrete-time linear parameter-varying systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
This paper examines a new event-triggered control design approach for discrete-time linear parameter-varying (LPV) systems to reduce the data transmission of the scheduling variables and states to the controller. A parameter ...
Reduced LPV Modeling and Control of a Solution Copolymerization Reactor
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Controlling the operation of polymer reactors is a highly important task that aims at maximizing the production rate and the product quality and also minimizing the transition losses due to the high consumer demands, as ...