Abstract
The applicability of Model-Based Networked Control Systems (MB-NCS) is often limited by the inexact knowledge of the dynamics of the system being controlled. This chapter considers different parameter estimation techniques and the update of the model parameters in the controller node, in addition to the updates of the model state. A better knowledge of the plant dynamics will provide an improvement in the control action over the network, i.e., we can achieve longer periods of time without need for feedback. At the same time, we overcome a possibly restrictive assumption in MB-NCS; namely, that the controller is designed to stabilize the real system. The identification process allows us to update not only the model but the controller itself so it can better respond to the dynamics of the real plant being controlled.
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