Fuzzy theory is widely studied and applied. This article introduces an adaptive control scheme for a class of non-linear systems with Markov jump switching. The introduced supposes that the system submitted to external disturbances under imperfect premise matching. By using discrete-time Takagi–Sugeno fuzzy models, sliding mode observer-based utilized estimate unmeasured states system. We build...

Abstract In this paper, a time - varying chattering free disturbance observer based position tracking control law of serial robotic manipulators is presented to track reference signal in finite time. The key idea employ positive-increasing function associated with the control/observer objectives improve performance. First, model an uncertain manipulator as case study proposed strategy. Then, fo...

The aim of this paper is to present an LPV (Linear Paramater Varying) approach for the design of a functional filter for bilinear systems with a disturbance attenuation specification. The unbiasedness requirement on the observation error is guaranteed by the solution of Sylvester equations obtained by parametrizing the filter gain matrix. This parametrization leads to a non convex optimization ...

In this paper, a disturbance observer based controller is proposed for the compensation of nonlinear friction in a servodrive system. The designed nonlinear controller uses the estimated system states (position, velocity) and disturbance to enhance tracking performance of the servodrive using high stiff gains for the compensation of the effects of nonlinear friction. The effectiveness of this d...

This paper deals with actuator fault estimation for a class of discrete-time Linear Parameter-Varying (LPV) descriptor systems. By considering the fault as an auxiliary state vector, an augmented system is established. Then, a fault estimation observer is designed based on the augmented system. In this paper, the fault estimation observer design is formulated as a Linear Matrix Inequality (LMI)...

In this paper, a linear active disturbance rejection controller is proposed for a waste heat recovery system using an organic Rankine cycle process, whose model is obtained by applying the system identification technique. The disturbances imposed on the waste heat recovery system are estimated through an extended linear state observer and then compensated by a linear feedback control strategy. ...

This paper presents a new observer based fuzzy terminal sliding mode controller design for a class of fractional order nonlinear systems. Robustness against uncertainty and disturbance, the stability of the close loop system and the convergence of both the tracking and observer errors to zero are the merits of the proposed the observer and the controller. The high gain observer is applied to es...

This article investigates the multirate disturbance rejection control problem for linear systems with mismatched and measurement delay using predictor-based extended state observer. A new observer together output predictor is first designed to obtain estimation values of system disturbance, where used compensate influences sampling output. To attenuate undesirable influence we then design a sam...