Browsing by Author "Mohammadpour, J."

Now showing items 1-12 of 12

    • A Bayesian approach for estimation of linear-regression LPV models 

      Golabi, A.; Meskin, Nader; Toth, R.; Mohammadpour, J. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      In this paper, a Bayesian framework for identification of linear parameter-varying (LPV) models with finite impulse response (FIR) dynamic structure is introduced, in which the dependency structure of LPV system on the ...

    • A Bayesian approach for model identification of LPV systems with uncertain scheduling variables 

      Abbasi, F.; Mohammadpour, J.; Toth, R.; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      This paper presents a Gaussian Process (GP) based Bayesian method that takes into account the effect of additive noise on the scheduling variables for identification of linear parameter-varying (LPV) models in input-output ...

    • A kernel-based approach to MIMO LPV state-space identification and application to a nonlinear process system 

      Rizvi, S.Z.; Mohammadpour, J.; Toth, R.; Meskin, Nader ( Elsevier B.V. , 2015 , Conference Paper)
      This paper first describes the development of a nonparametric identification method for linear parameter-varying (LPV) state-space models and then applies it to a nonlinear process system. The proposed method uses kernel-based ...

    • A New Approach to Robust MPC Design for LPV Systems in Input-Output Form 

      Abbas, H.S.; Hanema, J.; Tcth, R.; Mohammadpour, J.; Meskin, Nader ( Elsevier B.V. , 2018 , Conference Paper)
      In this paper, a robust model predictive control (MPC) technique is introduced to control MIMO linear parameter-varying (LPV) systems subject to input-output constraints. The LPV system is represented in input-output form, ...

    • A support vector machine-based method for LPV-ARX identification with noisy scheduling parameters 

      Abbasi, F.; Mohammadpour, J.; Toth, R.; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      In this paper, we present a method that utilizes support vector machines (SVM) to identify linear parameter-varying (LPV) auto-regressive exogenous input (ARX) models corrupted by not only noise, but also uncertainties in ...

    • Adaptive Sliding Mode Fault Diagnosis for LPV Systems with Uncertain Scheduling Variables 

      Rahme S.; Meskin N.; Mohammadpour J. ( IEEE Computer Society , 2018 , Conference Paper)
      This paper presents an adaptive sliding mode observer for actuator fault diagnosis of linear parameter-varying (LPV) systems with imperfectly measured scheduling variables due to noisy or faulty measurements. The developed ...

    • An improved robust model predictive control for linear parameter-varying input-output models 

      Abbas H.S.; Hanema J.; T?th R.; Mohammadpour J.; Meskin N. ( John Wiley and Sons Ltd , 2018 , Article)
      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 constraints. Closed-loop asymptotic stability ...

    • An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions 

      Rizvi, S.Z.; Mohammadpour J.; Tcth, R.; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      This paper presents a nonparametric identification method for state-space linear parameter-varying (LPV) models using a modified support vector machine (SVM) approach. While most LPV identification schemes in the state-space ...

    • An MPC approach for LPV systems in input-output form 

      Abbas, H.S.; Toth, R.; Meskin, Nader; Mohammadpour, J.; Hanema, J. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      In this paper, a discrete-time model predictive control (MPC) design approach is proposed to control systems described by linear parameter-varying (LPV) models in input-output form subject to constraints. To ensure stability ...

    • Event-triggered fault detection for discrete-time LPV systems with application to a laboratory tank system 

      Golabi A.; Davoodi M.; Meskin N.; Mohammadpour J. ( John Wiley and Sons Ltd , 2018 , Article)
      This paper investigates a new event-triggered fault detection methodology for discrete-time dynamic systems characterized by linear parameter-varying models. An event-based linear parameter-varying observer is presented ...

    • Linear parameter-varying control of a copolymerization reactor 

      Abbas, H.S.; Rahme, S.; Meskin, Nader; Hoffmann, C.; Tcth, R.; ... more authors ( Elsevier B.V. , 2015 , Conference Paper)
      This paper demonstrates the application of the linear parameter-varying (LPV) framework to control a copolymerization reactor. An LPV model representation is first developed for a nonlinear model of the process. The LPV ...

    • Parameter Set-mapping using kernel-based PCA for linear parameter-varying systems 

      Rizvi, S.Z.; Mohammadpour, J.; Toth, R.; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      This paper proposes a method for reduction of scheduling dependency in linear parameter-varying (LPV) systems. In particular, both the dimension of the scheduling variable and the corresponding scheduling region are shrunk ...