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Mathematical and Computational Applications
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  • Open Access

21 March 2025

Correction: Zambou et al. Optimized Nonlinear PID Control for Maximum Power Point Tracking in PV Systems Using Particle Swarm Optimization. Math. Comput. Appl. 2024, 29, 88

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and
1
Laboratory of Condensed Matter, Electronics and Signal Processing (LAMACETS), Department of Physics, Faculty of Sciences, University of Dschang, Dschang P.O. Box 67, Cameroon
2
Laboratory of Mechanics, Materials and Structures, Faculty of Science, Department of Physics, University of Yaounde 1, Yaounde P.O. Box 812, Cameroon
3
College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
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Automated Systems and Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh 11586, Saudi Arabia
Because of the uncertain meaning in the original publication [1], the authors wish to correct the first paragraph of the introduction and update the references with new ones that are more closely related. The changes are as follows:
  • Correcting the paragraph to be:
    “The majority of the energy generated globally comes from fossil fuels, such as coal, oil, and natural gas [1,2]. These fuels release greenhouse gases into the atmosphere, which increases pollution [3–5]. Moreover, these fuels are in perpetual depletion, which dangerously reduces the reserves of these types of energy for future generations. Faced with all these grievances, countries with enormous energy need to resort to renewable energy such as solar, hydro, wind, fuel cells, and geothermal energy [6,7].”
  • Updating the references [1–3,7,25,35–37] to be:
1.
Abas, N.; Kalair, A.; Khan, N. Review of fossil fuels and future energy technologies. Futures 2015, 69, 31–49.
2.
Balat, M.M.Y.C. Status of fossil energy resources: A global perspective. Energy Sources B Econ. Plan. Policy 2007, 2, 31–47.
3.
Mac Kinnon, M.A.; Brouwer, J.; Samuelsen, S. The role of natural gas and its infrastructure in mitigating greenhouse gas emissions, improving regional air quality, and renewable resource integration. Prog. Energy Combust. Sci. 2018, 64, 62–92.
7.
Shahzad, U. The need for renewable energy sources. Energy 2012, 2, 16–18.
25.
Manna, S.; Singh, D.K.; Akella, A.K.; Kotb, H.; AboRas, K.M.; Zawbaa, H.M.; Kamel, S. Design and implementation of a new adaptive MPPT controller for solar PV systems. Energy Rep. 2023, 9, 1818–1829.
35.
Delavari, H.; Ghaderi, R.; Ranjbar, A.; Momani, S. Fuzzy fractional order sliding mode controller for nonlinear systems. Commun. Nonlinear Sci. Numer. Simul. 2010, 15, 963–978.
36.
Rafikov, M.; Balthazar, J.M. On control and synchronization in chaotic and hyperchaotic systems via linear feedback control. Commun. Nonlinear Sci. Numer. Simul. 2008, 13, 1246–1255.
37.
Moreno-Valenzuela, J.; Pérez-Alcocer, R.; Guerrero-Medina, M.; Dzul, A. Nonlinear PID-type controller for quadrotor trajectory tracking. IEEE/ASME Trans. Mechatron. 2018, 23, 2436–2447.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Zambou, M.C.Z.; Kammogne, A.S.T.; Siewe, M.S.; Azar, A.T.; Ahmed, S.; Hameed, I.A. Optimized Nonlinear PID Control for Maximum Power Point Tracking in PV Systems Using Particle Swarm Optimization. Math. Comput. Appl. 2024, 29, 88. [Google Scholar] [CrossRef]
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