This article concerns a novel auxiliary-model-based expectation maximization (EM)
estimation method for Hammerstein systems with data loss by extending the EM method to …

The optimal linear estimation problem is studied for multirate sampling systems with multiple
random measurement time delays (TDs). The considered multirate sampling scheme is that …

The thermal power plant, especially the ultra-supercritical unit is featured with severe
nonlinearity, strong multivariable coupling. In order to deal with these difficulties, it is of great …

Two identification methods based on the redundant rules are proposed for a class of
systems with unknown time-delays. One is the recursive least squares based redundant …

This paper discusses the state and parameter estimation problem for a class of
Hammerstein state space systems with time delay. Both the process and the measurement …

This paper considers the robust identification for dual-rate input nonlinear equation-error
systems with outliers and random time delay. To suppress the negative influence caused by …

This work presents a novel methodology for Sub-Optimal Excitation Signal Generation and
Optimal Parameter Estimation of constrained nonlinear systems. It is proposed that the …

The on-line estimation of process quality variables has a large impact on the advanced
monitoring and control techniques of chemical processes. The present study offers an …

Having a proper and real‐time process monitoring and control requires accurate and
frequent measurement of process variables. However, using a particular sensor for an …

The parameter estimation for a class of single-input single-output (SISO) Hammerstein state
space systems is considered in this paper. The nonlinear block in the discussed system is …