Algorithms for Adaptive Feedforward Noise Attenuation—A Unified Approach and Experimental Evaluation

Improving adaptation/learning transients using a dynamic adaptation gain/learning rate - Theoretical and experimental results*

“…The objective is to attenuate an incoming unknown broadband noise disturbance. The corresponding block diagram for the adaptive feedforward noise compensation using FIR Youla-Kucera (FIR-YK) parametrization of the feedforward compensator (introduced in [10] for active vibration control and in [2] for active noise control) is shown in Figure 4.…”

Improving performance of adaptive feedforward noise attenuators using a dynamic adaptation gain

“…The steady state and transient attenuation 14 will be evaluated for the various values of the parameters c 1 , c 2 and d ′ 1 given in Tables 2 and 3. The system will operate in open loop during the first 15 s. For all the experiments the constant adaptation gain γ has the value 0.2 and the adjustable filter Q has 60 parameters.…”

“…For the purpose of this paper (comparison of various adaptation/learning algorithms), the FIR Youla-Kučera configuration for the feedforward compensator has been selected. This configuration has been described previously in the active vibration context [12], [4] and in the active noise context [13,14]. It offers the great advantage of defining a priori the closed loop poles of the internal positive feedback loop independently of the values of the adaptive FIR filter assuring the attenuation of the incoming disturbance.…”

Training Reflexes Using Adaptive Feedforward Control

“…Closely related are methods based on the internal model principle [1], [2], [7], [8]. Applications include active vibration control in buildings [9]; robotics [10]; motor control in neuroscience [11]; active noise control [12], [13], [14], [15]; vibration control [16], [17]; disk drives [18]; marine systems [19]; wind turbines [20]; and many others.…”