Seas and oceans are the most important sources of renewable energy in the world. The main purpose of this paper is to use an appropriate control strategy to improve the performance of point absorbers. In this scheme, considering the high uncertainty in the parameters of the power take-off system in different atmospheric conditions, a new improved black hole algorithm is introduced to tune fuzzy...

In general, due to the interactions among subsystems, it is difficult to design an decentralized controller for nonlinear interconnected systems. In this study, the model reference tracking control problem of nonlinear interconnected systems is studied via decentralized fuzzy control method. First, the nonlinear interconnected system is represented by an equivalent Takagi–Sugeno type fuzzy mode...

This paper aims to develop robust adaptive fuzzy control techniques to improve tracking performance, where both the tracking error and the modeling error are utilized to adjust system parameters. A hybrid adaptive control scheme including a H∞ compensator is proposed which makes the tracking performance faster and more reliable. Performance analysis is given by using Lyapunov theory. In our pro...

In this paper, a novel adaptive fuzzy sliding mode control method is proposed for the robust tracking control of robotic manipulators. The proposed controller possesses the advantages of adaptive control, fuzzy control, and sliding mode control. First, system stability and robustness are guaranteed based on the sliding mode control. Further, fuzzy rules are developed incorporating with adaptati...

in this paper, a control strategy is proposed for control of ankle movement on animals using intraspinal microstimulation (isms). the proposed method is based on fuzzy logic control. fuzzy logic control is a methodology of intelligent control that mimics human decision-making process. this type of control method can be very useful for the complex uncertain systems that their mathematical model ...

A robust tracking control design for wheeled vehicle systems with trailer, based on adaptive fuzzy elimination technique, is proposed in this study. A minimax control equipped with adaptive fuzzy elimination scheme is used to achieve a robust tracking performance, despite the system uncertainties and external disturbance. The design procedure is divided into three steps. First, a nominal wheele...

This paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. The uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. The contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...

This paper mainly investigates the control for the ball and beam system. Combined with the conventional dynamic surface control, an adaptive fuzzy scheme is proposed for the equilibrium balance of the ball. First, with the proper defined tracking errors of state variables, an integrating of tracking errors is considered as the fuzzy input. The parameters of fuzzy controller can be optimized by ...

This research applied an intelligent controller for mobile satellite antenna tracking system design. The intelligent controller is with both the traditional PI and the fuzzy control methods. The antenna tracking and the stabilization loops were designed firstly according to the bandwidth and phase margin requirements. However, the performance would be degraded if the tacking loop gain is reduce...