Sensor fault estimation for a class of nonlinear networked systems

This paper focuses on the sensor fault estimation problem for a class of nonlinear networked systems. Based on the networked orthogonal principle, the networked strong tracking filter-separate bias estimation algorithm is derived, which can deal with fault estimation problem in a networked environment with multiple packet dropout rates. We can also get the estimation of system states and sensor fault simultaneously. Simulation on a practical Internet based three-tank system is provided and the estimation results show the effectiveness and applicability of the proposed techniques.