This paper, deals with an indirect adaptive fuzzy control of discrete-time MIMO nonlinear systems with parametric variations. The synthesis of the state feedback control law is based on the T-S fuzzy models developed by a local description of the considered system. In the first step, gradient method is used to adjust model parameters locally estimated by the fuzzy model. The state feedback cont...

I. Abstract People daily use their cars for various reasons. This daily traveling also has some disadvantages. For instance, when a car passes a road excitation, the vertical acceleration caused by it may unfavorably affect human health. In this paper, a quarter-car model with semi-active suspension system is considered and three different control approaches (optimal control, fuzzy control, opt...

IJSER © 2013 http://www.ijser.org Abstract— The aim of this paper is to investigate the coupled tank system that is supplied with a photovoltaic generator. Controlling variables in any process is very important so as to achieve the desired output A nonlinear control of an induction motor (IM) supplied with a photovoltaic generator to assure the level control of two coupled tanks. The proposed ...

1 Purpose The purpose of this experiment is to apply controller and observer design techniques to a physical “difficult-to-control” system, namely, the inverted pendulum on a cart system. The controller will mainly be designed via optimal control techniques. The control objective is for the cart to track a square wave while the pendulum remains upright. Also, the controller must be improve the ...

In the context of aircraft, shimmy is an oscillatory phenomenon of the landing gear mainly due the tire dynamics and the landing gear structural dynamics. This phenomenon, which can result in severe structural damages of the landing gear, is here actively damped by an indirect fuzzy adaptive controller. The difficulties to model the ground/wheel interface require the use of an adaptive controll...

This paper addresses an adaptive fuzzy controller design for a class of nonlinear system. The nonlinear system is in the framework of strict-feedback form. The system funtions are unknown, and external disturbances meet the triangular bound assumption. Takagi-Sugeno (T-S) type fuzzy logic systems are used to approximate the uncertain nonlinear functions. The control objective is to steering the...

Based on the switching Takagi-Sugeno (T-S) fuzzy control theorem, this study investigates the position control for a developed differential-drive two-wheeled mobile robot (TWMR). The developed TWMR is introduced, followed by a description of the kinematic equations of the TWMR, which are represented by exact T-S fuzzy systems. The uncontrollable problem of the derived T-S fuzzy model is avoided...

In this study, a fuzzy rule-based optimal controller is designed for nonlinear dynamical systems. The direct second order method (or directdescend-curvature algorithm) with a modification called “modified descend controller (MDC)” is used for calculating the parameters of the fuzzy feedback controller. The optimal control problem defined here has dynamic constraints of nonlinear system states a...

In this paper, a robust adaptive fuzzy control algorithm based on the generalized fuzzy hyperbolic model (GFHM) for nonlinear system with uncertainties is proposed. The proposed control is a smooth control with no chattering phenomena, which consists of two control terms. One is the certainty equivalent control and the other is the compensated control, which is obtained by bounded estimation in...

Although there are various methods and models of agent’s behaviour in emergencies, the problem of the synthesis of the optimal control systems, which can support best evolution strategies for agent-rescuers in emergency characterized by a high level of an uncertainty, is still needed. We developed the simulation of agent-rescuers behaviour in emergencies and proposed an effective modified fuzzy...