Browsing by Author "Toth, R."

Now showing items 1-6 of 6

    • 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 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 ...

    • 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 ...

    • 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 ...