Name
Title | ||
|---|---|---|
Laguerre-Volterra model and architecture for MIMO system identification and output prediction. |
Abstract | ||
|---|---|---|
A generalized mathematical model is proposed for behaviors prediction of biological causal systems with multiple inputs and multiple outputs (MIMO). The system properties are represented by a set of model parameters, which can be derived with random input stimuli probing it. The system calculates predicted outputs based on the estimated parameters and its novel inputs. An efficient hardware architecture is established for this mathematical model and its circuitry has been implemented using the field-programmable gate arrays (FPGAs). This architecture is scalable and its functionality has been validated by using experimental data gathered from real-world measurement. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMBC.2014.6944633 | EMBC |
Keywords | Field | DocType |
hardware architecture,functionality,model parameters,field-programmable gate arrays,circuitry,random input stimuli,real-world measurement,mimo systems,biological causal systems,estimated parameters,mimo system identification,generalized mathematical model,fpga,system properties,biological techniques,physiological models,biology computing,equivalent circuits,behavioural sciences computing,laguerre-volterra model,field programmable gate arrays,behavior prediction,output prediction,multiple inputs and multiple outputs | Architecture,Laguerre polynomials,Computer science,Mimo system identification,Control engineering,Electronic engineering,Volterra equations | Conference |
Volume | ISSN | Citations |
2014 | 1557-170X | 2 |
PageRank | References | Authors |
0.37 | 3 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Will X. Y. Li | 1 | 45 | 7.08 |
| Yao Xin | 2 | 13 | 1.72 |
| Rosa H M Chan | 3 | 182 | 22.79 |
| Dong Song | 4 | 202 | 34.25 |
| theodore w berger | 5 | 380 | 87.26 |
| Ray C. C. Cheung | 6 | 625 | 72.26 |