anti-lock braking system (abs) which is a nonlinear and time variant system may not be easily controlled by classic control methods. this is due to the fact that classic linear controllers are just capable of controlling a specific plant in small region of state space. to overcome this problem, a more powerful control technique must be employed for complex nonlinear plants. fuzzy controllers ar...

This paper a new method for the control of Two linkrobotic manipulator systems using Neural Network has been presented, The first method is based on Proportional-Derivative controller, The second method is based on Proportional-IntegralDerivative controller, the third method is based on artificial Neural Network by PD controller, and the forth method is based on artificial Neural Network by PID...

This paper describes the simulation of movement control of a one-degree-of-freedom articulated robot arm SCARA actuated by a pair of McKibben pneumatic artificial muscles. The pneumatic artificial muscle is the actuator and emulates the behavior of biological muscles; due to its nonlinear behavior, there is also a need to develop control systems for robot arms using this type of actuator. Resea...

Figure 1: Closed Loop Abstract able to perform identification of a nonlinear plant with a nonlinear stabilising controller and a nonlinear a priThis paper treats the identification of a noise contamiori model of the plant also stabilised by the controller. nated nonlinear plant operating in a closed-loop with a stabilizing controller. The a priori model of the plant is nonlinear, and its update...

pH control is a challenging problem due to its highly nonlinear nature. In this paper the performances of two different adaptive global linearizing controllers (GLC) are compared. Least squares technique has been used for identifying the titration curve. The first controller is a standard GLC based on material balances of each species. For implementation of this controller a nonlinear state...

nuclear power reactors are, in nature nonlinear and time varying. these characteristics must be considered, if large power variations occur in their working regime. in this paper a robust optimal gain scheduling controller for regulating the power of a nuclear reactor has been designed and simulated. the proposed controller is capable of regulating power levels in a wide power range (10% to 100...

An attitude control strategy based on Ziegler-Nichols rules for tuning PD (proportional-derivative) parameters of quadrotor helicopters is presented to solve the problem that quadrotor tends to be instable. This problem is caused by the narrow definition domain of attitude angles of quadrotor helicopters. The proposed controller is nonlinear and consists of a linear part and a nonlinear part. T...

This paper presents the stability analysis of a fuzzymodel-based control system consisting of a nonlinear plant and a nonlinear state feedback controller and the design of the nonlinear gains of the controller. The nonlinear plant is represented by a fuzzy model having rules. A nonlinear state feedback controller is designed to close the feedback loop. Under this design, the stability condition...

in this paper, a novel approach for control of the dc-dc buck converter in high-power and low-voltage applications is proposed. designed method is developed according to state feedback linearization based controller , which is able to stabilize output voltage in a wide range of operation. it is clear that in high-power applications, parasitic elements of the converter may become comparable with...