Name
Abstract | ||
|---|---|---|
This paper develops a multivariable control technique for low-level control of an intelligent hospital bed. First, multivariable hospital bed models, nominal, upper bounded and lower bounded models, are obtained via an experimental identification procedure. Based on the obtained nominal model, the triangular diagonal dominance (TDD) decoupling technique is applied to reduce a complex multivariable system into a series of scalar systems. For each scalar system, an online adaptive control strategy is then developed to cope with system uncertainties. Compared to the conventional control method, real-time experimental results showed that our proposed multivariable control technique achieved better performance. Experimental results also confirmed that desirable system performance was guaranteed under system uncertainty conditions. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMBC.2014.6943809 | EMBC |
Keywords | DocType | Volume |
medical control systems,online adaptive control strategy,upper bounded models,hospitals,biomedical equipment,intelligent hospital bed,adaptive control,tdd decoupling technique,lower bounded models,nominal models,multivariable systems,multivariable control technique,multivariable hospital bed models,triangular diagonal dominance decoupling technique,electrical-powered hospital bed,uncertainty,artificial neural networks,real time systems,adaptive systems | Conference | 2014 |
ISSN | Citations | PageRank |
1557-170X | 0 | 0.34 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nguyen Huy Hoang | 1 | 8 | 2.92 |
| Tuan Nghia Nguyen | 2 | 53 | 5.88 |
| Raymont Clout | 3 | 0 | 0.34 |
| Hung T. Nguyen | 4 | 372 | 56.85 |