This study discusses the parameter estimation of the Hammerstein output‐error moving
average system using the dual‐rate sampled data. The polynomial transformation technique …

Some flexible appendages, such as solar panels, communication antenna and other large
structures are mounted on the base of the space robot. The structure flexibilities will cause …

Depending on historical signals from wind direction sensors, conventional yaw control
methods provide general performance and may be optimized by taking advantage of wind …

Aiming at the multi-parameter identification problem of an electro-hydraulic servo system, a
multi-parameter identification method based on a penalty mechanism reverse nonlinear …

This paper proposes a recursive least squares algorithm for a distributed parameter system
with missing observations. By using the finite difference method, the distributed parameter …

This paper presents a novel on-line closed-loop parameter identification algorithm for
second order nonlinear systems. Parameter convergence of the proposed methodology is …

A novel stochastic model predictive control (SMPC) scheme is proposed for automotive
scenes based on high-performance and practical motion state prediction method. The …

This paper presents a methodology for nonlinear parameter identification of conservative
Hamiltonian systems. In the proposed approach, the system's Hamiltonian is used under the …

Frequent changes in process dynamics make re-identification of a dynamic model
prerequisite for sustainable application of model predictive control. When the process needs …

This work presents an adaptive teleoperation control method based on RBF-Neural
Networks. First, the model of the teleoperation system with two slave robots is built. Then the …