Renewable Energy Systems 2021
DOI: 10.1016/b978-0-12-820004-9.00001-2
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Robust adaptive nonlinear controller of wind energy conversion system based on permanent magnet synchronous generator

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Cited by 5 publications
(2 citation statements)
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“…Robustness is commonly characterised as the bare minimum that a control system must meet in order to be usable in a real situation. Once created, the controller's settings do not alter, and control performance is assured (Ahmed et al, 2023a(Ahmed et al, ,b, 2022aSergiyenko et al, 2023 ;Kengne et al, 2023a,b ;Hashim et al, 2023 ;Hameed et al, 2023 ;Fekik et al, 2023a,b ;Zhang et al, 2023 ;Wang et al, 2023 ;Dendani et al, 2023 ;Toumi et al, 2022 ;Mahdi et al 2022 ;Ali el al., 2022a,b ;Abdul-Kareem et al, 2022;Abed et al, 2022;Sekhar et al, 2022 ;Saidi et al, 2022;Al Mhdawi et al, 2022 ;Lajouad et al, 2021;El Kafazi et al, 2021 ;Sundaram et al, 2021 ;Tolba et al, 2017a,b ;Soliman et al, 2017Soliman et al, , 2020Wang et al, 2017;Humaidi et al 2022Humaidi et al , 2021Humaidi et al , 2020Djeddi et al, 2019;Shukla et al, 2018;Khettab et al, 2018;Vaidyanathan et al, 2021aVaidyanathan et al, ,b,c,d,e, 2019Vaidyanathan et al, , 2018aVaidyanathan et al, ,b,c,d, 2017aVaidyanathan et al, ,b,c, 2015aVaidyanathan and Azar, 2021, 2016a,b,c,d,e,f, 2015aSantoro et al, 2013).…”
Section: Robustness Analysismentioning
confidence: 99%
“…Robustness is commonly characterised as the bare minimum that a control system must meet in order to be usable in a real situation. Once created, the controller's settings do not alter, and control performance is assured (Ahmed et al, 2023a(Ahmed et al, ,b, 2022aSergiyenko et al, 2023 ;Kengne et al, 2023a,b ;Hashim et al, 2023 ;Hameed et al, 2023 ;Fekik et al, 2023a,b ;Zhang et al, 2023 ;Wang et al, 2023 ;Dendani et al, 2023 ;Toumi et al, 2022 ;Mahdi et al 2022 ;Ali el al., 2022a,b ;Abdul-Kareem et al, 2022;Abed et al, 2022;Sekhar et al, 2022 ;Saidi et al, 2022;Al Mhdawi et al, 2022 ;Lajouad et al, 2021;El Kafazi et al, 2021 ;Sundaram et al, 2021 ;Tolba et al, 2017a,b ;Soliman et al, 2017Soliman et al, , 2020Wang et al, 2017;Humaidi et al 2022Humaidi et al , 2021Humaidi et al , 2020Djeddi et al, 2019;Shukla et al, 2018;Khettab et al, 2018;Vaidyanathan et al, 2021aVaidyanathan et al, ,b,c,d,e, 2019Vaidyanathan et al, , 2018aVaidyanathan et al, ,b,c,d, 2017aVaidyanathan et al, ,b,c, 2015aVaidyanathan and Azar, 2021, 2016a,b,c,d,e,f, 2015aSantoro et al, 2013).…”
Section: Robustness Analysismentioning
confidence: 99%
“…In tandem, metaheuristic algorithms, such as genetic programming and particle swarm optimization, empower AI systems to solve complex problems by mimicking natural processes of optimization and exploration. Robotics, on the other hand, serves as the embodiment of AI in the physical world, leveraging computational intelligence and metaheuristics to create intelligent machines capable of autonomous action and interaction with their environment (Al Mhdawi et al, 2022;Toumi et al, 2022;Abed et al, 2022;Daraz et al, 2022Daraz et al, , 2021Mahdi et al, 2022;Najm et al, 2022;Abdul-Adheem et al, 2022, 2020aHumaidi et al, 2023Humaidi et al, , 2022Saidi et al, 2022;Ghoudelbourk et al, 2022Ghoudelbourk et al, , 2021Ghoudelbourk et al, , 2020Ghoudelbourk et al, , 2016Ajel et al, 2021;Bouchemha et al, 2021;Rana et al, 2021;Lajouad et al, 2021;Al-Qassar et al, 2021b;Hamiche et al, 2021;Kammogne et al, 2020;Alain et al, 2020;Ghazizadeh et al, 2018). Together, these components epitomize the multifaceted nature of AI, driving innovation and reshaping the boundaries of technological possibility.…”
Section: Related Workmentioning
confidence: 99%