• A Bayesian Approach for LPV Model Identification and Its Application to Complex Processes 

      Golabi, Arash; Meskin, Nader; Toth, Roland; Mohammadpour, Javad ( 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 ...
    • A Kernel-Based PCA Approach to Model Reduction of Linear Parameter-Varying Systems 

      Rizvi, Syed Z.; Mohammadpour, Javad; Toth, Roland; Meskin, Nader ( 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 ...
    • A Robust MPC for Input-Output LPV Models 

      Abbas, Hossam S.; Toth, Roland; Meskin, Nader; Mohammadpour, Javad; Hanema, Jurre ( 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 ...
    • Embedding of nonlinear systems in a linear parameter-varying representation 

      Abbas, Hossam S.; Toth, Roland; Petreczky, Mihaly; Meskin, Nader; Mohammadpour, Javad ( 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 control for discrete-time linear parameter-varying systems 

      Golabi, Arash; Meskin, Nader; Toth, Roland; Mohammadpour, Javad; Donkers, Tijs ( 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 ...
    • Event-triggered fault detection for discrete-time LPV systems 

      Golabi, Arash; Davoodi, Mohammadreza; Meskin, Nader; Mohammadpour, Javad; Toth, Roland ( 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 ...
    • Reduced LPV Modeling and Control of a Solution Copolymerization Reactor 

      Meskin, Nader; Rahme, Sandy; Toth, Roland; Mohammadpour, Javad ( 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 ...
    • Stochastic model predictive control for LPV systems 

      Chitraganti, Shaikshavali; Toth, Roland; Meskin, Nader; Mohammadpour, Javad ( 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 ...
    • Stochastic model predictive tracking of piecewise constant references for LPV systems 

      Chitraganti, Shaikshavali; Toth, Roland; Meskin, Nader; Mohammadpour, Javad ( 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 ...