Adaptive stabilization of switched affine systems with unknown equilibrium points: Application to power converters

Automatica ◽  
2019 ◽  
Vol 99 ◽  
pp. 82-91 ◽  
Author(s):  
Gaëtan Beneux ◽  
Pierre Riedinger ◽  
Jamal Daafouz ◽  
Louis Grimaud
2018 ◽  
Vol 51 (15) ◽  
pp. 616-621
Author(s):  
Wei Lin ◽  
Kanya Rattanamongkhonkun ◽  
Radom Pongvuthithum

2021 ◽  
Vol 54 (5) ◽  
pp. 301-306
Author(s):  
Lucas N. Egidio ◽  
Anders Hansson

Author(s):  
Xi Nowak ◽  
Dirk Söffker

This contribution considers a new realization of the cognitive stabilizer, which is an adaptive stabilization control method based on a cognition-based framework. It is assumed, that the model of the system to be controlled is unknown. Only the knowledge about the system inputs, outputs, and equilibrium points are the preliminaries assumed within this approach. A new improved realization of the cognitive stabilizer is designed in this contribution using 1) a neural network estimating suitable inputs according to the desired outputs, 2) Lyapunov stability criterion according to a certain Lyapunov function, and 3) an optimization method to determine the desired system outputs with respect to the system energy. The proposed cognitive stabilizer is able to stabilize an unknown nonlinear MIMO system at arbitrary equilibrium point of it. Suitable control input can be designed automatically to guarantee the stability of motion of the system during the whole process although the changing of the system behavior or the environment. Numerical examples are shown to demonstrate the successful application and performance of this method.


2012 ◽  
Vol 132 (7) ◽  
pp. 727-735 ◽  
Author(s):  
Michio Tamate ◽  
Tamiko Sasaki ◽  
Akio Toba ◽  
Yasushi Matsumoto ◽  
Keiji Wada ◽  
...  

2009 ◽  
Vol E92-C (10) ◽  
pp. 1299-1303
Author(s):  
Xiaojuan XIA ◽  
Liang XIE ◽  
Weifeng SUN ◽  
Longxing SHI

Sign in / Sign up

Export Citation Format

Share Document