000			02060cam a2200325 a 4500
003			EG-GiCUC
005			20250223032649.0
008			201230s2020 ua d f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aPh.D
099			_aCai01.13.08.Ph.D.2020.Me.F
100	0		_aMeena Elia Samouil Girgis
245	1	0	_aFractional-order adaptive fuzzy logic control / _cMeena Elia Samouil Girgis ; Supervised Ragia I. Badr
246	1	5	_aالرتبة الكسرية لمتحكم المنطق المشوش المتوائم
260			_aCairo : _bMeena Elia Samouil Girgis , _c2020
300			_a97 P. : _bfacimiles ; _c30cm
502			_aThesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications
520			_aIn this thesis, an Optimal Fractional-order Adaptive Fuzzy Logic Control (OFO-AFLC) is proposed. It is based on merging the FO to AFLC and driving the adaptation laws using Lyapunov stability and FO lemmas. Noteworthy, the FO and the adaptation gains are chosen optimally using Particle Swarm Optimization (PSO) algorithm. The Proposed OFO-AFLC has been applied to unstable and nonlinear system such as the inverted pendulum system in the presence of disturbance. The proposed OFO-AFLC has achieved a superiority over the conventional AFLC. Moreover, an Optimal Fractional-order PID (OFO-PID) control is developed and applied to a Tokamak fusion reactor as a case study on FO calculus efficiency in improving the conventional controller performance.The proposed OFO-PID has given superior results when compared to other competitive controllers especially in the cases of adding disturbance and variations in the reactor model parameters
530			_aIssued also as CD
653		4	_aAdaptive
653		4	_aFractional-order
653		4	_aFuzzy Logic Control
700	0		_aRagia I. Badr , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aShimaa _eCataloger
942			_2ddc _cTH
999			_c79382 _d79382