Title :
Optimal state estimation in networked systems with asynchronous communication channels and switched sensors
Author :
Matveev, Alexey S. ; Savkin, Andrey V.
Author_Institution :
Dept. of Math. & Mech., St. Petersburg Univ., Russia
Abstract :
We study a linear discrete-time partially observed system perturbed by a white noise. The observations are transmitted to the controller via communication channels with irregular transmission times. Various measurement signals may incur independent delays, arrive at the estimator out of order, and be lost or corrupted. The estimator is given a dynamic control over the sensors and administrates producing the messages to be sent from sensors. The minimum variance state estimate and the optimal sensor control strategy are obtained. Ideas of model predictive control are applied to derive a nonoptimal but implementable in real time method for sensor control
Keywords :
computerised instrumentation; discrete time systems; linear systems; optimisation; state estimation; telecommunication channels; telecommunication networks; white noise; asynchronous communication channels; dynamic control; independent delays; irregular transmission times; linear discrete-time partially observed system; minimum variance state estimate; model predictive control; networked systems; optimal sensor control strategy; optimal state estimation; real-time method; switched sensors; white noise; Communication channels; Communication system control; Delay estimation; Loss measurement; Optimal control; Out of order; Predictive control; Predictive models; State estimation; White noise;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980208
