Name
Abstract | ||
|---|---|---|
Nowadays, control of dynamical systems with uncertainties is a common problem. Many sulutions can be found in the literature, one of these methods is the family of Robust Fixed Point Transformations (RFPT) with local basin of attraction. The method is based on the idea that if someone has to use an approximate model in a control task, there is a function which, locally converging to the right solution, can reduce the disadvantages of the approximation. In this paper, authors show that though RFPT can loose its local convergensity, it can still improve a simple controller's results and this improvement makes the controller's behavior very similar to that of a sliding mode controller. The similarity includes the so called chattering effect, but a simple smoothing algorithm is also introuced to minimize the fluctuation of the control signal. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SACI.2012.6250035 | Applied Computational Intelligence and Informatics |
Keywords | Field | DocType |
approximation theory,model reference adaptive control systems,stability,MRAC controllers,RFPT,VS-type stabilization,approximate model,chattering effect,control signal,controller behavior,dynamical systems,local basin,local convergensity,model reference adaptive control,robust fixed point transformations,sliding mode controller,smoothing algorithm | Mathematical optimization,Control theory,Computer science,Control theory,Approximation theory,Control engineering,Dynamical systems theory,Smoothing,Fixed point | Conference |
ISBN | Citations | PageRank |
978-1-4673-1012-3 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Terez A. Várkonyi | 1 | 1 | 1.06 |
| József K. Tar | 2 | 104 | 25.33 |
| Imre J. Rudas | 3 | 388 | 63.89 |
| István Krómer | 4 | 0 | 0.34 |