The three-phase DSTATCOM is prone to higher dynamics due grid disturbances. proportionate affine projection algorithm (PAPA) an adaptive filter that can be used for control. In order overcome the sluggish convergence speed of filters, PAPA proposed in this paper. rate versus steady-state error a trade-off conventional filters. However, utilization two filters CSS-PAPA increases and decreases er...

This paper investigates the attitude control problem for large-scale morphing unmanned vehicles. Considering rapid time-varying and strong aerodynamic interference caused by morphing, a modified model-free method utilizing only system input output is proposed. Firstly, two-loop equivalent data model vehicle developed, which can better reflect practical dynamics of vehicles compared to tradition...

This paper presents fuzzy and conventional performance of model reference adaptive control(MRAC) to control a DC drive. The aims of this work are achieving better match of motor speed with reference speed, decrease of noises under load changes and disturbances, and increase of system stability. The operation of nonadaptive control and the model reference of fuzzy and conventional adaptive contr...

This paper proposes a new multivariable model reference adaptive controller (MIMO RMRAC), which consists of two parts: the first part involves the characterization of the integral structure of the modeled part of the plant, and the associated parameterization of the controller structure; and the second part involves the development of a robust adaptive law based on a modified least-squares algo...

This work investigates modified function projective synchronization between two different hyperchaotic dynamical systems, namely, hyperchaotic Lorenz system and hyperchaotic Chen system with fully unknown parameters. Based on Lyapunov stability theory, the adaptive control law and the parameter update law are derived to achieve modified function projective synchronized between two diffierent hy...

an adaptive version of growing and pruning rbf neural network has been used to predict the system output and implement linear model-based predictive controller (lmpc) and non-linear model-based predictive controller (nmpc) strategies. a radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.an unscented kalman filter (ukf) algor...