TY  - JOUR
AU  - Wang, Adeola
AU  - Bhuiyan, Rafiqul
TI  - Experimental Study of Nonlinear System Identification
JO  - Open Access Journal of Engineering Applications
PY  - 2000
VL  - 24
IS  - 2
SP  - 519
EP  - 532
AB  - The high cost of imported equipment motivates an indigenous investigation of nonlinear system identification suited to local rural electrification networks. The present work employs Monte Carlo simulation to characterise the governing behaviour under a range of operating conditions. Costs were lowered by an estimated 24% relative to the imported alternative. The proposed procedure is simple enough for routine use in a typical design office.
KW  - nonlinear system identification
KW  - Monte Carlo simulation
KW  - reinforced concrete
KW  - image compression
KW  - spread spectrum
KW  - wastewater treatment
SN  - 3105-7004
DO  - 10.55555/oajea.2000.2402.027
UR  - https://journal.bsaps.com/article/7744
ER  -