Adaptive Gradient Descent Algorithm for Networked Control Systems Using Redundant Rule

This study proposes an adaptive gradient descent algorithm for networked control systems, where the systems encounter a time-delay. To estimate the parameters and time-delay simultaneously, a redundant rule based method is introduced to transform the system into an augmented model. Then, the parameters are estimated by using an adaptive gradient descent algorithm. Finally, the true parameters and time-delay can be obtained based on the parameter estimates of the augmented model. A simulation example is proposed to validate the effectiveness of the proposed algorithm.