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.
For linear time-invariant normal controlled plant, under the assumption that controller and actuator adopt the method of event-time driven the system is a variable-sampling networked control system, and network-induced delay time is uncertain, it is less than or equals to a variable-sampling period. Basing on the dynamic output feedback the variable-sampling networked control system is modeled. Making...
The parametric non-strict-feedback and unmatched uncertainty of surface ship straight-line tracking control was considered. With the help of Lyapunov stability theory, considering the characteristics of the rudder system, a novel adaptive stepping algorithm is proposed, which could guarantee the closed-loop system to be uniformly ultimately bounded. The result of simulations present the validity and...
A direct adaptive control design method was proposed for a class of uncertain single-input single-output (SISO) nonaffine nonlinear system using multilayer neural networks (MNNs). The proposed approach used MNNs to approximate and adaptively cancel the unknown part of the inverse functions. Then, Inverse design, backstepping design, and feedback linearization techniques were incorporated to design...
A more precise T-S fuzzy model was established to approximate the nonlinear model of ship rolling movement. Based on fuzzy partition of the input space, two new sufficient conditions under which the closed-loop T-S fuzzy control system is asymptotically stable in the large were obtained by constructing piecewise smooth Lyapunov function. The new sufficient conditions, which only required finding a...
A nonlinear feedback controller is designed to make the first two state of a chaotic system called Josephson-circuits-coupled quantum cellular neural network track an arbitrary two-dimensional smooth reference signal. It is proved by means of Lyapunov function that this method can make the system approach to any two desired smooth orbits at an exponent rate. The synchronizations with Duffingpsilas...
This paper addresses the issue of trajectory tracking control based on a neural network controller for industrial manipulators. A new control scheme is proposed based on neural network technology and linear feedback approach for tracking a planned trajectory. The control system is established with two parallel subsystems designed separately. One is a linear controller based on state feedback with...
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.