| 000 | 01767cam a2200325 a 4500 | ||
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| 003 | EG-GiCUC | ||
| 005 | 20250223031507.0 | ||
| 008 | 150515s2015 ua dh f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.13.07.M.Sc.2015.Mo.M | ||
| 100 | 0 | _aMohamed Elsayed Mousa Afefi | |
| 245 | 1 | 0 |
_aModeling and control of an inverted pendulum based on evolutionary computational techniques / _cMohamed Elsayed Mousa Afefi ; Supervised Mohamed Ahmed Moustafa Hassan |
| 246 | 1 | 5 | _aالنمذجه والتحكم فى البندول المعكوس اعتماداً على تقنيات التطور الحسابية |
| 260 |
_aCairo : _bMohamed Elsayed Mousa Afefi , _c2015 |
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| 300 |
_a108 P. : _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines | ||
| 520 | _aInverted pendulum is one of the most excited problems in dynamics and control theory. It{u2019}s Single Input Multi Output (SIMO) problem. PI, PID and FOPID controllers with feed forward gain based on Reduced Linear Quadratic Regulator (RLQR) are applied to the IP system. Tuning the Controllers' gains is achieved by using Particle Swarm Optimization (PSO) technique. The objective function is designed to give minimum settling time, rise time, undershoot and over shoot for both the cart position and the pendulum angle | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aFOPID | |
| 653 | 4 | _aPI | |
| 653 | 4 | _aPID | |
| 700 | 0 |
_aMohamed Ahmed Moustafa Hassan , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aNazla _eRevisor |
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| 905 |
_aSoheir _eCataloger |
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| 942 |
_2ddc _cTH |
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| 999 |
_c56437 _d56437 |
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