The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we presents a new class of iterative learning control law for a class of nonlinear systems, denoted PD-IPD, which is composed by adding a derivative term in the integrator of PID learning control law. By using Bellman-Gronwall lemma, the simple explicit conditions on the learning gains to ensure convergence are provided in the sense of Lambda norm. An attractive feature of PD-IPD learning...
To resolve the problem of trajectory tracking of robot which have uncertain parameters and many uncertain ingredients. In high precise control, feedforward control can improve the tracking performance of system, this text present a kind of PD controller with feedforward based on adaptive theory. And by MATLAB simulation, this method is effective.
The modified transpose Jacobian (MTJ) algorithm has been proposed, based on an approximated feedback linearization approach, in which there is no need to a priori knowledge of the plant dynamics. In this paper, a Learning-based modified transpose Jacobian (LMTJ) control algorithm is presented for trajectory tracking of robotic manipulators in an iterative operation mode. In this new control method,...
A fuzzy sliding mode controller based on radial basis function neural network (RBFNN) is proposed in this paper. In the applications of sliding mode controllers the main problem is that a whole knowledge of the system dynamics and system parameters are required to be able to compute equivalent control. In this paper, an RBFNN is used to compute the equivalent control. The weights of the RBFNN are...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.