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.
Motion coordination of autonomous vehicles has applications from target surveillance to climate monitoring. Previous research has yielded stabilizing control laws for a self-propelled-vehicle model with first-order rotational dynamics; however, this model may not adequately describe the rotational dynamics of vehicles in the atmosphere or ocean. This paper describes the design of backstepping algorithms...
The idea of controlling and synchronizing chaotic systems refers to a process where in two or many chaotic systems starting from different initial conditions adjust a given property of their motion to a common behaviors. In this paper, the stable tracking control of continuous chaotic systems are studied and a new control method is proposed. Based on Lyapunov stability theory, an adaptive controller...
A speed synchronization scheme for multi induction motors is developed, by incorporating total sliding mode control into adjacent cross-coupling control architecture. The presented control scheme comprises two parts: tracking error controller and synchronization error controller. The proposed control strategy is to stabilize speed tracking of each induction motor while synchronizing its speed with...
This paper proposes a brand new T-S fuzzy model-based approach to achieve synchronization and desynchronization of coupled dynamical systems. The T-S fuzzy models are given to exactly represent the coupled dynamical systems. We analyze the overall fuzzy synchronization and desynchronization system by applying Lyapunov theory and derive stability conditions by solving linear matrix inequalities (LMI)...
This paper deals with the exponential synchronization problem for a class of dynamical delayed complex networks with each node being a general Lur'e system. The network model considered can represent both the directed and undirected weighted networks. Based on the Lyapunov stability theory and property of the coupling matrix, the delay-dependent linear controllers are designed and the controlled networks...
Aimed at the problems, such as the poor synchronization performance of heavy crane being operated coordinately and huge amounts of on-line calculation using the existed relative coupling strategy, a position synchronization controller based on adjacent relative coupling strategy and backstepping is designed. The simulation model is constructed in Matlab/Simulink environment, and the Simulink results...
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.