• 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, ...
    • 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 estimation and accommodation design for linear systems 

      Davoodi, Mohammadreza; Meskin, Nader; Khorasani, Khashayar ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      The problem of event-triggered active fault-tolerant control (E-AFTC) of discrete-time linear systems is addressed in this paper by using an integrated design of event-triggered fault/state estimator with a fault-tolerant ...
    • Finite-Time Stability under Denial of Service 

      Doostmohammadian, M.; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Finite-time stability (FTS) of networked control systems under denial-of-service (DoS) attacks are investigated in this article, where the communication between the plant and the controller is compromised at some time ...
    • State-dependent adaptive dynamic programing for a class of continuous-time nonlinear systems 

      Batmani, Yazdan; Davoodi, Mohammadrez; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      The state-dependent Riccati equation (SDRE) technique can be used to solve optimal control problems for a wide class of nonlinear dynamical systems. In this method, instead of solving a complicated Hamilton-Jacobi-Bellman ...