Title : 
Adaptive switching control of a class of nonlinear systems based on multiple models
         
        
        
            Author_Institution : 
Sch. of Math., Beijing Inst. of Technol., Beijing, China
         
        
        
        
        
        
            Abstract : 
The transient behaviors of traditional adaptive control may be very poor in general. A practically feasible approach to improve the transient performances is the adoption of adaptive switching control. For a typical class of nonlinear systems disturbed by random noises, we applied the idea of mixed multiple models consisting of adaptive model and fixed models to design the switching control law. Under certain assumptions, we proved rigorously the stability and optimality of the nonlinear system with the switching control law. A simulation example was provided to compare the performances of the switching control and the traditional adaptive control.
         
        
            Keywords : 
adaptive control; control system synthesis; nonlinear control systems; random noise; time-varying systems; adaptive model; adaptive switching control; fixed models; mixed multiple models; nonlinear system optimality; nonlinear system stability; random noise; switching control law design; transient behaviors; Adaptation models; Adaptive control; Mathematical model; Nonlinear systems; Switches; Adaptive control; multiple models; nonlinear systems; switching control;
         
        
        
        
            Conference_Titel : 
Control Conference (CCC), 2012 31st Chinese
         
        
            Conference_Location : 
Hefei
         
        
        
            Print_ISBN : 
978-1-4673-2581-3