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 address the reference model adaptive neural network control problem for a class of switched nonlinear singular systems under the case of single input and multiple inputs. Based on RBF neural network, the state tracking controller and a switching strategy are designed so that switched nonlinear singular system can asymptotically track the desired reference model. It shows that RBF...
For a class of switched nonlinear time-delay systems whose subsystem with triangle structure, tracking switched stabilization problem is, in a backstepping way, investigated based on neural network in this paper. Combining with backsteppping, domination and adaptive bounding design technique together, an adaptive neural network switching control scheme is constructed which insures such system can...
A feedforward and feedback optimal control algorithm is developed for a class of weak nonlinear discrete systems affected by additive disturbances. By using the successive approximation approach (SAA), we solve the coupled nonlinear two-point boundary value (TPBV) problem derived from the necessary condition of the optimal control problem. The main result concerns the existence and design of a feedforward...
An adaptive feedback control scheme and a switching strategy for the output tracking stabilization of switched nonlinear systems with time-delay are presented by using RBF (radial basis function) neural network The RBF neural networks is used to compensate adaptively for the unknown nonlinear parts of switched nonlinear systems, and the approximation errors of RBF neural networks are introduced to...
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.