this paper proposes an efficient tracking method for velocity control of an electro-hydraulic servo system (ehss) in the presence of flow nonlinearities and internal friction. the tracking method controller is a kind of feedback error learning structure. in the proposed method, the feedback error learning (fel) algorithm is used to control the velocity. there is no need to compute the system ja...

This paper proposes an efficient Tracking method for velocity control of an electro-hydraulic servo system (EHSS) in the presence of flow nonlinearities and internal friction. The tracking method controller is a kind of feedback error learning structure. In the proposed method, the Feedback Error Learning (FEL) algorithm is used to control the velocity. There is no need to compute the system ja...

in this paper, a new control method based on fel electro hydraulic servo control withnonlinear flux and internal friction, has been presented. the new approach based oncontrollers combined by a classic pd controller and a fuzzy controller is smart. this newtechnique has a good ability to control the performance and stability. simulations have beencarried out in matlab environment and the result...

Neural network based controller is used for controlling a mobile robot system. Feedback error learning (FEL) can be regarded as a hybrid control to guarantee stability of control approach. This paper presents simulation of a mobile robot system controlled by a FEL neural network and PD controllers. This feedback error-learning controller benefits from both classic and adaptive controller proper...

The Feedback Error Learning (FEL) for Functional Electrical Stimulation (FES) controller was examined through computer simulation using a musculoskeletal model. Feedforward controller of the FEL controller consisted of the inverse dynamics model (IDM) and the inverse statics model (ISM) in order to achieve successful learning. The new controller showed better performance in learning of the feed...

In this paper, we present our theoretical investigations of the technique of feedback error learning (FEL) from the viewpoint of adaptive control. We first discuss the relationship between FEL and nonlinear adaptive control with adaptive feedback linearization, and show that FEL can be interpreted as a form of nonlinear adaptive control. Second, we present a Lyapunov analysis suggesting that th...

We investigate the ability of feedback-error-learning (FEL) algorithm through applying it to training a pan-tilt camera head for pursuing a moving target. Although the task of pursuit eye movement is re BLOCKINective and the control has a relatively large delay, our experiments show that the camera head can successfully acquire the skill of pursuit eye movement. Our experimental results also sh...

The Feedback Error Learning (FEL) was found to be applicable to joint angle control by FES in our previous study. However, the inverse dynamics model (IDM) in the FEL-FES controller was not learned appropriately in some cases. In this paper, 4 methods of applying the FEL to FES control were compared in controlling 1-DOF movement of the wrist joint stimulating 2 muscles through computer simulati...

In this study, the basic motor control system had been investigated. The Discrete-Time Feedback Error Learning (DTFEL) method is used to control this system. This method is anologous to the original continuous-time version Feedback Error Learning(FEL) control which is proposed as a control model of cerebellum in the field of computational neuroscience. The DTFEL controller consists of two main ...