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In this work, we consider the problem of controlling two linear systems coupled through the inputs. We propose a novel distributed model predictive control method based on game theory in which two different agents communicate in order to find a cooperative solution to the centralized control problem. We assume that each agent only has partial information of the model and the state of the system. The...
In this work, we focus on model predictive control of nonlinear systems subject to time-varying measurement delays. The motivation for studying this control problem is provided by networked control problems and the presence of time-varying delays in measurement sampling in chemical processes. We propose a Lyapunov-based model predictive controller which is designed taking time-varying measurement...
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