An adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. Another key feature of this structure is the fact that, it does not need model of the system. In this scheme, neurolinearizer has few weights, so it is practical in adaptive situations.  Online training of neuroline...

This paper proposes a novel networked predictive control strategy and analyses the stability of closed-loop networked predictive control systems with random communication delay. The proposed networked predictive controller consists of a networked control predictor and a conventional predictive controller. The networked control predictor compensates the network communication delay. The conventio...

In this paper, a second order plant is considered for identification using NN-predictive control technique. The neural network based predictive controller is configured based on MATLAB 7.0. This neural network controller uses a neural network model of plant. It predicts the future performance of the actual plant. The controller uses to calculate the control input. The control input will optimiz...

AbstractIn modern power system, Static Compensator (STATCOM) is used to alleviate the transient stability problem and damping power system oscillations. In this paper different STATCOM control scheme using fuzzy logic controller (FLC) and model predictive controller (MPC) for the Single Machine Infinite Bus (SMIB) system in improving transient stability is simulated using MATLAB/ Simulink in po...

This paper addresses the development of an efficient numerical output feedback robust model predictive controller for open-loop stable systems. Stability of the closed loop is guaranteed by using an infinite horizon predictive controller and a stable state observer. The performance and the computational burden of this approach are compared to a robust predictive controller from the literature. ...

Predictive control of MIMO processes is a challenging problem which requires the specification of a large number of tuning parameters (the prediction horizon, the control horizon and the cost weighting factor). In this context, the present paper compares two strategies to design a supervisor of the Multivariable Generalized Predictive Controller (MGPC), based on multiobjective optimization. Thu...

In this paper, a voltage-current mode controller is proposed to adjust both the input current and DC voltage of a boost-inverter in order to improve the performance of the photovoltaic (PV). The proposed system is based on fuzzy-making-decision predictive voltage-current controller (FPVCC). The simulation results show that in case of using the proposed FPVCC, the input current of a PV array is ...

Friction stir welding has become a popular forging technique used in many applications. The Swedish Nuclear Fuel and Waste Management Company (SKB) evaluates this method to seal the 5 cm thick copper canisters that will contain the spent nuclear fuel. To produce repetitive, high quality welds, the process must be controlled, and today a cascade controller is used to keep the desired stir zone t...

A nonlinear chemical/physical dynamic model in the form of partial differential equations was adopted and further developed to serve as a basis for model predictive control of a pellet reactor for drinking water softening. The model was calibrated using full-scale process measurements. A linear predictive controller based on a lineralization of the model has been designed to achieve the desired...

This paper focuses on resolving the trajectory tracking problem of two wheeled mobile robot. We begin by presenting the kinematic model of the robot which is the base of the control law then we present a PI controller and a model predictive controller to solve the problem of trajectory tracking. We performed a comparison between the performances of the classical PI controller and the predictive...