This paper presents recent work on the improvement of the robotics vision based control strategy for underwater pipeline tracking system. The study focuses on developing image processing algorithms and a fuzzy inference system for the analysis of the terrain. The main goal is to implement the supervisory fuzzy learning control technique to reduce the errors on navigation decision due to the pip...

With the increasingly severe global warming, investments in clean technology, reforestation and political action have been studied to reduce CO2 emission. In this study, a nonlinear stochastic model is proposed to describe the dynamics of CO2 emission with control inputs: clean technology, reforestation and carbon tax, under stochastic uncertainties. For the efficient resources management, a ro...

This paper addresses the problem of adaptive fuzzy tracking control for aclass of nonlinearly parameterized systems with unknown control directions.In this paper, the nonlinearly parameterized functions are lumped into the unknown continuous functionswhich can be approximated by using the fuzzy logic systems (FLS) in Mamdani type. Then, the Nussbaum-type function is used to de...

Aiming at the problem that the traditional control methods can’t satisfactorily complete the trajectory tracking task, so a multi point preview control method based on automobile driving is designed for the motion control of four-wheel drive omni-directional mobile robot. Lateral position error and curvature of each preview point are calculated based on the robot’s lateral position error model....

This paper presents a method of maximum power point tracking, MPPT using adaptive fuzzy logic control for grid connected photovoltaic system. The system composed of photovoltaic module, boost converter and the fuzzy logic controller. The maximum power point tracking control is based on adaptive fuzzy logic to control ON/OFF time of MOSFET switch of boost converter. The complete simulation resul...

In this paper, an adaptive fuzzy tracking control approach is proposed for a class of single-inputsingle-output (SISO) nonlinear systems in which the unknown continuous functions may be nonlinearlyparameterized. During the controller design procedure, the fuzzy logic systems (FLS) in Mamdani type are applied to approximate the unknown continuous functions, and then, based on the minimal learnin...

This paper presents a method of maximum power point tracking, MPPT using adaptive fuzzy logic control for grid connected photovoltaic system. The system composed of photovoltaic module, boost converter and the fuzzy logic controller. The maximum power point tracking control is based on adaptive fuzzy logic to control ON/OFF time of MOSFET switch of boost converter. The complete simulation resul...

This paper studies the evolutionary design of a fuzzy P+ID controller for an actual pneumatic muscle actuator system. The control of pneumatic muscles is a challenging problem because of their high degree of nonlinearity, time-varying parameters, and uncertainty. A fuzzy P+ID controller is constructed using an incremental fuzzy logic controller in place of the proportional term in a conventiona...

A fuzzy logic controller equipped with a training algorithm is developed such that the H∞ tracking performance should be satisfied for a model free nonlinear multipleinput multiple-output (MIMO) system with external disturbances. In this paper, a new indirect adaptive interval type-2 fuzzy controller by using fuzzy descriptions to model the plant is proposed to handle the training data corrupte...

One of the main problems in wind energy conversion system (WECS) is how to achieve maxim‌u‌m output power in different wind speeds. Maximum methods for maximum power point tracking in wind energy conversion syst‌e‌ms require the knowledge of system characteristics and mechanic sensors. So, using these methods practically will follow with high price and an abundant difficulties. In this pape...