Dynamic uncertainties and unknown disturbances will degrade the tracking performance of robots. When using a disturber observer-based controller, key to effectively compensate for these is measure or estimate as accurately possible any disturbance. To relax restrictions on design current nonlinear disturbance observer robot, universal proposed higher estimation performance. The stability theore...

In practical applications, for highly nonlinear systems, how to implement control tasks dynamic systems with uncertain parameters is still a hot research issue. Aiming at the internal parameter fluctuations and external unknown disturbances in system, this paper proposes an adaptive terminal sliding mode (ADTSMC) based on finite-time disturbance observer (FTDO) systems. A designed compensate un...

State space based nonlinear model predictive control (NMPC) needs the state for the prediction of the system behavior. Unfortunately, for most applications, not all states are directly measurable. To recover the unmeasured states, typically a stable state observer is used. However, this implies that the stability of the closed-loop should be examined carefully, since no general nonlinear separa...

n this paper, an observer-based adaptive fuzzy-neural control is presented for a class of nonlinear systems with unknown time delays. The state observer is first designed, and then the controller is designed via the adaptive fuzzy-neural control method based on observer states. Both the designed observer and controller are independent of time delays. Using an appropriate LyapunovKrasovskii func...

Based on a reduced-order, dynamic nonlinear wind turbine model in TakagiSugeno (TS) model structure, a TS state observer is designed as a disturbance observer to estimate the unknown effective wind speed. The TS observer model is an exact representation of the underlying nonlinear model, obtained by means of the sector-nonlinearity approach. The observer gain matrices are obtained by means of a...