In most existing distributed estimation algorithms, many scholars adopted the assumption that output signal of system is noisy and input sufficiently accurate. However, in real applications, filter vector usually contains noise. such situations, it has been proved adaptive filtering algorithm using total least squares (TLS) method shown better performance than classical (LS) method. So this pap...

Efficient and low-cost dispersion compensation is necessary to achieve useful transmission distances in optical communication systems at bit rate of 10 Gb/s.In this paper electronic feed forward equalization is performed to mitigate the link chromatic dispersion. The filter coefficients are computed by a decision-directed process based on the recursive least square algorithm. Recursive least sq...

In this paper, based on feedback linearization control method and using a special PI (propotational integrator) regulator (IP) in combination with a feed-forward controller, a three-phase induction servo-drive is speed controlled. First, an observer is employed to estimate the rotor d and q axis flux components. Then, two input-output state variables are introduced to control the dynamics of to...

In this paper, based on feedback linearization control method and using a special PI (propotational integrator) regulator (IP) in combination with a feed-forward controller, a three-phase induction servo-drive is speed controlled. First, an observer is employed to estimate the rotor d and q axis flux components. Then, two input-output state variables are introduced to control the dynamics of to...

In this paper, the regularization of employing the forgetting recursive least square (FRLS) training technique on feedforward neural networks is studied. We derive our result from the corresponding equations for the expected prediction error and the expected training error. By comparing these error equations with other equations obtained previously from the weight decay method, we have found th...