Hassan Yousef

Dr. Hassan Yousef

Sultan Qabbos university
orcid

Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 January 2014 in IEEE Transactions on Power Systems
Verified
Journal Article
Closed access
Hassan YousefHassan Yousef
Hassan Yousef
KAKhalfan Al-Kharusi
Khalfan Al-Kharusi
Mohammed AlbadiMohammed Albadi
Mohammed Albadi
Nasser HosseinzadehNasser Hosseinzadeh
Nasser Hosseinzadeh
In this paper, a new load frequency control (LFC) for multi-area power systems is developed based on the direct-indirect adaptive fuzzy control technique. LFCs for each area are designed based on availability of frequency deviation of each area and tie-line power deviation between areas. The fuzzy logic system approximation capabilities are exploited to develop suitable adaptive control law and parameter update algorithms for unknown interconnected LFC areas. An H ∞ tracking performance criterion is introduced to minimize the approximation errors and the external disturbance effects. The proposed controller guarantees stability of the overall closed-loop system. Simulation results for a real three-area power system prove the effectiveness of the proposed LFC and show its superiority over a classical PID controller and a type-2 fuzzy controller.

1 June 2015 in International Journal of Electrical Power & Energy Systems
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Journal Article
Closed access
Hassan YousefHassan Yousef
Hassan Yousef

1 February 2009 in Automatica
Verified
Journal Article
Closed access
Hassan YousefHassan Yousef
Hassan Yousef
MHM. Hamdy
M. Hamdy
EEE. El-Madbouly
E. El-Madbouly
DED. Eteim
D. Eteim

16 May 2017 in International Journal of Systems Science
Verified
Journal Article
Closed access
Hassan YousefHassan Yousef
Hassan Yousef
MHMohamed Hamdy
Mohamed Hamdy
KNKyrillos Nashed
Kyrillos Nashed
This paper proposes an adaptive fuzzy logic control scheme for a class of strict-feedback nonlinear systems with unknown backlash-like hysteresis. The proposed controller exploits the properties of the newly developed adaptive control in conjunction with the approximation capability of fuzzy systems. The developed controller is fast, the adaptation can be as fast as the CPU permits, and robust by virtue of the adaptive control structure and the direct estimation of the system nonlinear functions via fuzzy logic systems. As a result, the proposed adaptive fuzzy controller has a simpler form and requires fewer adaptation parameters. The inverted pendulum and Duffing forced oscillation systems are used in simulation studies to verify the effectiveness of the proposed adaptive fuzzy control scheme.

1 October 2013 in Journal of the Franklin Institute
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Journal Article
Closed access
Hassan YousefHassan Yousef
Hassan Yousef
MHMohamed Hamdy
Mohamed Hamdy
MSMuhammad Shafiq
Muhammad Shafiq

24 June 2019 in International Journal of Adaptive Control and Signal Processing
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Journal Article
Closed access
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Hassan YousefHassan Yousef
Hassan Yousef
MHMohamed Hamdy
Mohamed Hamdy
ASAshraf Saleem
Ashraf Saleem
KNKyrillos Nashed
Kyrillos Nashed
MMMustafa Mesbah
Mustafa Mesbah
MSMuhammad Shafiq
Muhammad Shafiq