Fast state estimation subject to random data loss in discrete-time nonlinear stochastic systems
International Journal of Control
Discrete-time nonlinear stochastic systems, Networked systems, Observer design, Random data loss
This paper focuses on the design of the standard observer in discrete-time nonlinear stochastic systems subject to random data loss. By the assumption that the system response is incrementally bounded, two sufficient conditions are subsequently derived that guarantee exponential mean-square stability and fast convergence of the estimation error for the problem at hand. An efficient algorithm is also presented to obtain the observer gain. Finally, the proposed methodology is employed for monitoring the ContinuousStirred Tank Reactor (CSTR) via a wireless communication network. The effectiveness of the designed observer is extensively assessed by using an experimental tested-bed that has been fabricated for performance evaluation of the over wireless-network estimation techniques under realistic radio channel conditions. © 2013 Taylor & Francis.
Mahdi Alavi, S. M. and Saif, Mehrdad. (2013). Fast state estimation subject to random data loss in discrete-time nonlinear stochastic systems. International Journal of Control, 86 (12), 2302-2314.