In order to improve the performance of sensorless induction motor drives system at the low speed,a new sliding-mode sensorless observer (SMSO) was proposed.

Adaptive sliding mode observer for speed-sensorless control of PMSM;

Double sliding mode observers for permanent magnet linear synchronous motor;

Feedback linearization speed-tracking control of linear servo system based on sliding mode observer;

To solve the problem of the chattering phenomena in the conventional SMO(Sliding Mode Observer),a novel SMO was proposed based on the good properties of Kalman filter,where the sat function is adopted to substitute the sign function and the low pass filter was deleted.

An adaptive sliding-mode observer for sensorless vector control of surface permanent magnet(synchronous) motor(SPMSM) is presented.

Residuals were achieved by comparing outputs of sliding-mode observers and sensor signals.

A robust control scheme on the model of surface permanent magnet synchronous motor,composing of a sliding-mode controller and a sliding-mode observer,was presented in this paper.

The states of AUV (Autonomous Underwater Vehicle) are estimated by sliding observer in this paper due to the nonlinear characters of AUV model.

The sliding observer is employed for the state estimation.

Models for relative movement parameter estimation and reconstruction are established based on sliding observer, which implement accurate measurement of spacecrafts’relative position and attitude.

A class of the matched uncertain nonlinear systems was described by the Takagi-Sugeno(T-S) fuzzy dynamic model,and a new method of designing the robust fuzzy sliding mode observer based on T-S fuzzy model was proposed by applying the sliding-mode observer design principle.