Modified multi-verse optimizer for nonlinear system identification of a double pendulum overhead crane
This paper presents the identification of double pendulum overhead crane (DPOC) plant based on the hybrid Multi-Verse Optimizer with Sine Cosine Algorithm (HMVOSCA) using the continuous-time Hammerstein model. In the HMVOSCA algorithm, the new position updating mechanism of the traditional MVO metho...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/33418/ http://umpir.ump.edu.my/id/eprint/33418/1/Modified%20multi-verse%20optimizer%20for%20nonlinear%20system%20identification_FULL.pdf http://umpir.ump.edu.my/id/eprint/33418/2/Modified%20multi-verse%20optimizer%20for%20nonlinear%20system%20identification.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/33418/http://umpir.ump.edu.my/id/eprint/33418/1/Modified%20multi-verse%20optimizer%20for%20nonlinear%20system%20identification_FULL.pdf
http://umpir.ump.edu.my/id/eprint/33418/2/Modified%20multi-verse%20optimizer%20for%20nonlinear%20system%20identification.pdf