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 recent years, the polynomial fuzzy control becomes a popular research after the Takagi-Sugeno (T-S) fuzzy control. The polynomial fuzzy model is a more effective representation than the T-S fuzzy model. In addition, the stability conditions of polynomial fuzzy control in terms of sum of square (SOS) are more general than the stability conditions of T-S fuzzy control in terms of linear matrix inequality...
In this paper, the mathematical models of brush-less DC motors is introduced. Based on the model, the matlab/simulink is used as simulation platform. Combining fuzzy control with traditional PID control, the fuzzy control toolbox of matlab is made use of on the modeling simulation. The simulation result shows that fuzzy-PID control strategy can be used to make remarkable improvement on the overall...
This paper proposed the design of T-S fuzzy control for magnetic levitation systems. The maglev systems are linearized at the equilibrium point first. Then the error state equations are derived and the proportional integral (PI) controller is applied to eliminate the steady-state tracking error. The nonlinear dynamic equations of the magnetic levitation systems are represented by a T-S fuzzy model...
The object of this paper is to design a LMI-based fuzzy controller for a MIMO two-link robot arm using quantum evolutionary algorithms. The Takagi-Sugeno (T-S) fuzzy approach is utilized to represent the equation of motion of two-link robot arm. The stability of the fuzzy system is guaranteed by linear matrix inequality (LMI) from Lyapunov stability approach. The quantum evolutionary algorithms (QEA)...
This paper presents a novel evolutionary algorithm based on a hybrid of Taguchi method and particle swarm optimization (PSO), and thus is called HTPSO. First, the nonlinear nano-positioning system is approximated by the Takagi-Sugeno (T-S) fuzzy model. Second, the parallel distributed compensation (PDC) is designed to control the piezoelectric system. Last, the parameters of the fuzzy controller are...
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.