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.
Aiming at meeting the needs of high precision and high stability in large angle attitude maneuver control for flexible spacecraft, a self-adjusting sliding-mode control law based on RBF neural network was proposed. A delay factor in exponential form was introduced into the reaching-law of sliding-mode control to improve the stability of maneuver process. An online self-adjusting factor was designed...