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.
In this paper a class of adaptive controller for a large class of nonlinear systems has been proposed in presence of uncertainties, input nonlinearities and unknown time-delay. Based on the combination of the sliding mode control (SMC) with fuzzy control, this paper presents a design algorithm to synthesize a robust fuzzy sliding mode controller. The unknown nonlinear functions have been approximated...
In this paper, a novel fuzzy adaptive backstepping design procedure is proposed for a class of perturbed strict-feedback nonlinear systems with unknown time-varying delays. The fuzzy logic systems are used to approximate the nonlinear uncertainties, then, the adaptive fuzzy tracking controller is constructed by combining Lyapunov-Krasovskii functionals and the backstepping approach. The proposed controller...
In this paper, an adaptive fuzzy tracking control is presented for a class of SISO nonlinear strict-feedback systems with unknown time delays. The developed control algorithm uses the Mamdani-type fuzzy systems to approximate on-line the unknown nonlinear function. The Krasovskii-functional is constructed to compensate for the unknown delayed state. The proposed controller guarantees uniform ultimate...
Variable universe adaptive fuzzy controller tunes automatically the contraction-expansion factor and universe varies with error of the system. By this approach, the accuracy and the adaptivity of the system can be improved. Aiming at the nonlinearity and time-delay of the plant, a variable universe adaptive fuzzy control for liquid lever system is proposed. First, the mathematical model of the plant...
This paper is concerned with the problem of adaptive fuzzy control for nonlinear systems with an unknown time delay and unknown control gain. Using an appropriate Lyapunov-Krasovskii functional, uncertainty of the unknown time delay is compensated for, and then the Fuzzy logic system in Mamdani type is utilized to approximate the unknown nonlinear function. By the use of Lyapunov stability theorem,...
The adaptive fuzzy control problem is considered for a class of uncertain SISO nonlinear time-varying delay systems in a Brunovsky form. The upper bound of the unknown time-varying delay term is assumed to be in the form of nonlinear functions with unknown coefficients. An adaptive fuzzy controller is designed by utilizing the integral-type Lyapunov function and constructing a continuous function...
In this paper, an adaptive control algorithm is developed for a class of nonlinear systems with unknown time-delays based on the approximation property of the fuzzy systems. The systems considered in the paper are in non-affine pure-feedback structure. The existing research result is expanded. This algorithm guarantees that all the signals in the closed-loop system are uniformly bounded and the tracking...
The problem of adaptive fuzzy control for a class of MIMO time-delayed nonlinear systems with unknown dead-zone is discussed in this paper. Based on the principle of sliding mode control , using the fuzzy systems with linear adjustable parameters which are used to approximate plant unknown functions, a novel design scheme of adaptive fuzzy controller is proposed. With the help of a supervisory controller,...
For networked control systems (NCS) with nonlinear and uncertain parameters, a novel adaptive fuzzy sliding mode control method for solving the dynamic model with network-induced delay, nonlinear and uncertain parameters is proposed in this paper. According to the design of the sliding mode, the effect of network-induced delay is compensated. Then, an adaptive fuzzy system is used to approximate the...
The paper proposes an adaptive fuzzy control method for the new oil rigs of ZJ30DB series with AC frequency converters. The assistant motor and its gearing work as executing system. Considering the time-delay, time-variability and nonlinearity of controlled objects, we design a double-loop control system in order to control the drill pressure tending to an expected value. Because it is very difficult...
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.