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This paper studies the robust stability of discrete-time iterative learning control (ILC) systems in a networked control system setting(NCS). First we consider the problem where data sent from a remote plant to the ILC algorithms is subject to random data dropouts. For this scenario we establish mean-square stability, taking into account the convergence of the covariance of the error along the iteration...
This paper provides stability conditions of an uncertain networked control system with both forward control signal loss and feedback output signal loss. It is assumed that both the forward control signal and the output measurement signal are intermittent independently, and the remote plant has a model uncertainty. Also, in this paper, an observer-based controller is used in the remote place because...
In this paper, we present a mathematical formulation of the problem of robust iterative learning control (ILC) design when the system is subject to data dropout. It is assumed that an ILC scheme is implemented via a networked control system (NCS) and that during the data transfer from the remote plant to the ILC controller data dropout occurs, resulting in what we call intermittent measurement. Using...
In this paper, we present a mathematical formulation of the problem of robust iterative learning control (ILC) design when the system is subject to data dropout. It is assumed that an ILC scheme is implemented via a networked control system (NCS) and that during the data transfer from the remote plant to the ILC controller data dropout occurs, resulting in what we call intermittent measurement. Using...
A mobile laboratory was developed for students of the ECE5320 Mechatronics and ECE7750 Distributed Control Systems courses at Utah State University. A serial server was connected to the embedded controller of a stand-alone 3-axes robotic wheel assembly. This enabled communication between the wheel and any Internet-enabled computer. A telepresence control system and a prototype networked control system...
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