Ensuring Stability in Networked Systems with Nonlinear MPC for Continuous Time Systems

L. Grüne, J. Pannek, K. Worthmann: Ensuring Stability in Networked Systems with Nonlinear MPC for Continuous Time Systems
in: Proceedings of the 51st IEEE Conference on Decision and Control, Maui, Hawaii, 2012, 14 - 19

Keywords: Nonlinear Model Predictive Control, Networked Control Systems, Chemical Process Control
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Abstract:

For networked systems, the control law is typically subject to network flaws such as delays and packet dropouts. Hence, the time in between updates of the control law varies unexpectedly. Here, we present a stability theorem for nonlinear model predictive control with varying control horizon in a continuous time setting without stabilizing terminal constraints or costs. It turns out that stability can be concluded under the same conditions as for a (short) fixed control horizon.

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