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.
This paper presents a decentralized adaptive control design for a class of large-scale nonlinear systems with unknown subsystems. When the subsystems are modeled by affine equations, a direct adaptive controller is devised based on the Lyapunov theory, so that the stability of the closed-loop system is guaranteed by introducing a suitably driven adaptive rule. A neuro-based structure is proposed when...
This paper first introduces a nonlinear robust controller for maglev systems. This controller which employs mainly sliding mode concepts ensures global stability of the closed-loop system. A theorem has been established in the paper to prove the overall system stability. To show how good the proposed controller is we apply it to the maglev system. Furthermore, it has been shown that the proposed controller...
This paper presents a decentralized adaptive controller for a class of large-scale nonlinear systems with unknown subsystems. A direct adaptive controller is devised based on Lyapunov stability analysis so that the stability of the closed loop system is guaranteed by introducing a suitably driven adaptive rule. To show the effectiveness of the proposed decentralized adaptive controller, a nonlinear...
This paper presents a hardware-in-the-loop implementation of magnetic levitation (Maglev) system. We established a laboratory setup for Maglev to test different control algorithms. Here a real-time control algorithm based on PID to keep the overall control closed-loop system stable is fully reported. The Experimental result clearly approved the effectiveness of the designed controller by possessing...
The Dijkstra method is one of the well-known algorithms in graph theory for determining an optimum path. Some researchers have utilized this algorithm and represented some modified solutions for optimum robot path planning problems. They used a mass-point technique for robot modeling and further the dimensions and shape of robots have not been taken into account. These assumptions make their methods...
In this paper, the problem of noise rejection for a class of nonaffine nonlinear systems with parameter uncertainty is considered. We develop a neuro adaptive controller with guaranteed stability by introducing a robust adaptive bound based on Lyapunov stability analysis. A radial-basis function type neural network is used in the paper. To show the effectiveness of the proposed controller, the nonlinear...
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.