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.
Due to the problem of serious nonlinear, strong coupling, uncertain parameters existed in the process of hypersonic vehicle's flight, this paper designs a fuzzy boundary layer adaptive sliding mode controller based on tangent reaching law. Firstly, the longitudinal model is linearized exactly, and then by introducing a parameters adjusted by online fuzzy logic system as sliding boundary layer, quasi-sliding...
A current-controlled meminductor has the property of variable inductance according to current flowing across it, that brings the nonlinear relation between state variables. In this paper, a three-order passive circuit with a current-controlled meminductor is proposed to generate chaotic oscillation. When configured with proper parameters and initial conditions, strange attractors can be observed....
In this paper, an adaptive IMC controller using just-in-time learning (JITL) technique for nonlinear process control is proposed. Based on a set of linear models obtained on-line by the JITL, not only the parameters of IMC controller are updated, but also IMC filter parameter is adjusted on-line by an updating algorithm derived based on the Lyapunov method to guarantee the convergence of JITL's predicted...
In this paper, an adaptive neuro-fuzzy controller is investigated for a class of non-affine nonlinear systems. Firstly, rigorous description and quantification of the approximation error of the neuro-fuzzy controller are discussed. Then a novel updating algorithm to adapt the weights, centers, and widths of the neuro-fuzzy controller is presented based on Lyapunov stability theory. It is shown that...
In this paper, adaptive neuro-fuzzy identification is investigated for the Hammerstein model, which consists of the cascade structure of a static nonlinearity followed by a linear dynamic part. Utilizing the approximation ability of neuro-fuzzy for the nonlinear static function, there is no need for prior knowledge and restriction on static nonlinear function. Furthermore, an adaptive algorithm designed...
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.