Adaptive filter theory
System identification
Steady-state and parameter tracking properties of self-tuning minimum variance regulators
Automatica (Journal of IFAC)
Adaptive algorithms and stochastic approximations
Adaptive algorithms and stochastic approximations
Adaptive algorithms for the rejection of sinusoidal disturbances with unknown frequency
Automatica (Journal of IFAC)
Identification of Time-Varying Processes
Identification of Time-Varying Processes
Active Noise Control Systems: Algorithms and DSP Implementations
Active Noise Control Systems: Algorithms and DSP Implementations
Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking
Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking
A robust variable step-size LMS-type algorithm: analysis andsimulations
IEEE Transactions on Signal Processing
Automatica (Journal of IFAC)
A new approach to active noise and vibration control-part II: the unknown frequency case
IEEE Transactions on Signal Processing
Multichannel self-optimizing narrowband interference canceller
Signal Processing
Hi-index | 35.69 |
This paper presents a new approach to rejection of complex-valued sinusoidal disturbances acting at the output of a discrete-time stable linear plant with unknown dynamics. It is assumed that the frequency of the sinusoidal disturbance is known, and that the output signal is contaminated with wideband measurement noise. The disturbance rejection control rule is first derived and analyzed for a nominal plant model, different from the true model. Then a special adaptation mechanism is added, which is capable of compensating modeling biases (errors in both magnitude and phase) so that, under Gaussian assumptions, the closed-loop system can converge in mean to the optimal solution.