Stabilizability Analysis of Multiple Model Control with Probabilistic
| Autor: | Suebsomran, Anan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| DOI: | 10.15157/ijitis.2019.2.2.173-180 |
| Popis: | In this paper, we derive some useful necessary conditions for stabilizability of multiple model control using a bank of stabilizing state feedback controllers. The outputs of this set are weighted by their probabilities as a soft switching system and together fed back to the plant. We study quadratic stabilizability of this closed loop soft switching system for both continuous and discrete-time hybrid system. For the continuous-time hybrid system, a bound on sum of eigenvalues of is found when their derivatives of Lyapunov functions are upper bounded. For discrete-time hybrid system, a new stabilizability condition of soft switching signals is presented. International Journal of Innovative Technology and Interdisciplinary Sciences, Vol 2 No 2 (2019): International Journal of Innovative Technology and Interdisciplinary Sciences - Volume 2, Issue 2 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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