Model based predictive control over wireless sensor and actuator networks

Model based predictive control over wireless sensor and actuator networks is considered. To deal with time varying round trip latencies and data dropout it is proposed a formulation where the true open loop networked system dynamics is approximated using recursive identification techniques based on the dual unscented Kalman filter. Experimental results using a testbed show the relevance of the implemented approach.