A novel approach to the problem of robust state estimation in the presence of model uncertainty as well as plant disturbance and sensor noise is considered. Two new observer structures are discussed and shown to have certain advantages over the classical state space observer when studying robustness issues. The results are used to design an observer for a real industrial boiler system.

In this paper, the discontinuous projection based adaptive robust control (ARC) is extended to a class of uncertain linear systems with large disturbances. An observer is first designed to provide exponentially convergent estimates of the unmeasured states. This observer has an extended filter structure so that on-line parameter adaptation can be utilized to reduce the effect of the possible la...

The paper presents an observer-based estimation of sensor fault for control systems affected by friction force. In such systems, the non-linearity force leads to deteriorating capability observer. Hence, challenge is design observer capable attaining robust while avoiding effects friction. To overcome highlighted challenge, Unknown Input Observer (UIO) designed decouple as well estimate state a...

In this paper, we propose an observed-based control for the PVTOL aircraft considering that the angular position is not measurable. The control strategy presented here, is robust with respect to observer errors and takes into account constraints imposed by the nonlinear observer. The observer design is based on the assumption that the horizontal position is the only available measure. We presen...

This paper focuses on the robust mixed H2/H∞ observer design problem for removal of NOx sensor ammonia cross-sensitivity in selective catalytic reduction (SCR) systems. Due to the ammonia cross-sensitivity, the reading of the NOx sensor is contaminated severely. In order to utilize the concentration of the NOx in the downstream tailpipe, it is desired to design an observer to estimate the actua...