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Browsing School of Engineering by Subject "Automatic control -- Congresses"

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Browsing School of Engineering by Subject "Automatic control -- Congresses"

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  • Discrete-time Kalman filter under incorrect noise covariances 
    Saab, Samer S. (IEEE, 2019-08-09)
    The optimum filtering results of Kalman filtering for linear dynamic systems require an exact knowledge of the process noise covariance matrix Q, the measurement noise covariance matrix R and the initial error covariance ...
  • A discrete-time learning control algorithm 
    Saab, Samer S. (IEEE, 2019-08-21)
    A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. Necessary and sufficient conditions for uniform convergence of the proposed learning algorithm is presented. ...
  • Discrete-time learning control algorithm for a class of nonlinear systems 
    Saab, Samer S. (IEEE, 2019-08-09)
    Applies a discrete-time learning algorithm to a class of discrete-time varying nonlinear system. The author investigates the robustness of the algorithm to state disturbance, measurement noise and reinitialization errors. ...
  • Learn while Tracking 
    Saab, Samer S. (IEEE, 2019-08-21)
    A simple non-iterative digital controller is proposed for the uniform output tracking problem of multi-input multi-output discrete-time varying linear systems with arbitrary relative degree. The proposed controller is based ...
  • On the sampling and integration rates of process noise 
    Saab, Samer S. (IEEE, 2019-08-27)
    In this paper we consider a class of process noise in navigation, and study the effects of sampling and integration rates on the covariance of the respective sampled and integrated signals. It is shown that the covariance ...
  • Robustness and Convergence of P-type Learning Control 
    Saab, Samer S.; Vogt, William G.; Mickle, Marlin H. (IEEE, 2019-08-20)
    The robustness and convergence of P-type learning control algorithms for a class of time-varying, nonlinear systems to state disturbances, measurement noise at the output, and reinitialization errors at each iteration is ...
  • Theory of P-type learning control with implication for the robot manipulator 
    Saab, Samer S.; Vogt, William G.; Mickle, Marlin H. (IEEE, 2019-08-20)
    The robustness and convergence of P-type learning control algorithms for a class of time-varying, nonlinear systems with state disturbances, measurement noise at the output, and reinitialization errors at each iteration ...

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