Name
Abstract | ||
|---|---|---|
This paper establishes robust guaranteed-cost decentralized stabilization method for interconnected continuous-time systems with Lipschitz-type nonlinearities and subject to convex-bounded parametric uncertainties. We design a decentralized observer-based feedback stabilization scheme such that the family of closed-loop feedback subsystems enjoys the asymptotic stability with a guaranteed cost for each subsystem. The decentralized feedback gains are determined by convex optimization over LMIs. All the developed results are tested on an interconnected power system. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ECC.2014.6862203 | ECC |
Keywords | Field | DocType |
asymptotic stability,closed loop systems,continuous time systems,control nonlinearities,control system synthesis,convex programming,decentralised control,feedback,linear matrix inequalities,multivariable control systems,observers,power system interconnection,robust control,uncertain systems,lmi,lipschitz-type nonlinearities,closed-loop feedback subsystems,convex optimization,convex-bounded parametric uncertainties,decentralized feedback gains,decentralized observer-based feedback stabilization scheme design,interconnected continuous-time systems,interconnected power systems,robust decentralized guaranteed-cost control,robust guaranteed-cost decentralized stabilization method | Control theory,Computer science,Electric power system,Control engineering | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Magdi S. Mahmoud | 1 | 790 | 98.50 |