| 1317 - 1318 |
Special issue on'Applications of Continuous-Time Model Identification and Estimation'
Garnier H, Young PC |
| 1319 - 1338 |
The advantages of directly identifying continuous-time transfer function models in practical applications
Garnier H, Young PC |
| 1339 - 1351 |
An EM-based identification algorithm for a class of hybrid systems with application to power electronics
Aguilera RP, Godoy BI, Aguero JC, Goodwin GC, Yuz JI |
| 1352 - 1372 |
Frequency-domain identification of aircraft structural modes from short-duration flight tests
Vayssettes J, Mercere G, Vacher P, De Callafon RA |
| 1373 - 1386 |
Parameter identification of aggregated thermostatically controlled loads for smart grids using PDE techniques
Moura S, Bendtsen J, Ruiz V |
| 1387 - 1405 |
Continuous-time system identification of the steering dynamics of a ship on a river
Padilla A, Yuz JI, Herzer B |
| 1406 - 1422 |
Controlling aliased dynamics in motion systems? An identification for sampled-data control approach
Oomen T |
| 1423 - 1437 |
Continuous-time system identification of a smoking cessation intervention
Timms KP, Rivera DE, Collins LM, Piper ME |
| 1438 - 1453 |
Identification of individualised empirical models of carbohydrate and insulin effects on T1DM blood glucose dynamics
Cescon M, Johansson R, Renard E, Maran A |
| 1454 - 1466 |
Continuous-time interval model identification of blood glucose dynamics for type 1 diabetes
Kirchsteiger H, Johansson R, Renard E, del Re L |
