Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration

Separable Newton Recursive Estimation Method Through System Responses Based on Dynamically Discrete Measurements with Increasing Data Length

Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems

Highly computationally efficient state filter based on the delta operator

Filtered auxiliary model recursive generalized extended parameter estimation methods for Box–Jenkins systems by means of the filtering identification idea

Recursive identification methods for general stochastic systems with colored noises by using the hierarchical identification principle and the filtering identification idea