Aghaei, VTSeyyedAbbasi, ASRasheed, JAbu-Mahfouz, Adnan MI2023-10-122023-10-122023-03Aghaei, V., SeyyedAbbasi, A., Rasheed, J. & Abu-Mahfouz, A.M. 2023. Sand cat swarm optimization-based feedback controller design for nonlinear systems. <i>Heliyon, 15(2).</i> http://hdl.handle.net/10204/131372405-8440https://doi.org/10.1016/j.heliyon.2023.e13885http://hdl.handle.net/10204/13137The control of the open loop unstable systems with nonlinear structure is challenging work. In this paper, for the first time, we present a sand cat swarm optimization (SCSO) algorithm-based state feedback controller design for open-loop unstable systems. The SCSO algorithm is a newly proposed metaheuristic algorithm with an easy-to-implement structure that can efficiently find the optimal solution for optimization problems. The proposed SCSO-based state feedback controller can successfully optimize the control parameters with efficient convergence curve speed. In order to show the performance of the proposed method, three different nonlinear control systems such as an Inverted pendulum, a Furuta pendulum, and an Acrobat robot arm are considered. The control and optimization performances of the proposed SCSO algorithm are compared with well-known metaheuristic algorithms. The simulation results show that the proposed control method can either outperform the compared metaheuristic-based algorithms or have competitive results.FulltextenMetaheuristic algorithmsNonlinear systemsSand cat swarm optimizationSCSOState feedback controlTrajectory controlArticleAghaei, V., SeyyedAbbasi, A., Rasheed, J., & Abu-Mahfouz, A. M. (2023). Sand cat swarm optimization-based feedback controller design for nonlinear systems. <i>Heliyon, 15(2)</i>, http://hdl.handle.net/10204/13137Aghaei, VT, AS SeyyedAbbasi, J Rasheed, and Adnan MI Abu-Mahfouz "Sand cat swarm optimization-based feedback controller design for nonlinear systems." <i>Heliyon, 15(2)</i> (2023) http://hdl.handle.net/10204/13137Aghaei V, SeyyedAbbasi A, Rasheed J, Abu-Mahfouz AM. Sand cat swarm optimization-based feedback controller design for nonlinear systems. Heliyon, 15(2). 2023; http://hdl.handle.net/10204/13137.TY - Article AU - Aghaei, VT AU - SeyyedAbbasi, AS AU - Rasheed, J AU - Abu-Mahfouz, Adnan MI AB - The control of the open loop unstable systems with nonlinear structure is challenging work. In this paper, for the first time, we present a sand cat swarm optimization (SCSO) algorithm-based state feedback controller design for open-loop unstable systems. The SCSO algorithm is a newly proposed metaheuristic algorithm with an easy-to-implement structure that can efficiently find the optimal solution for optimization problems. The proposed SCSO-based state feedback controller can successfully optimize the control parameters with efficient convergence curve speed. In order to show the performance of the proposed method, three different nonlinear control systems such as an Inverted pendulum, a Furuta pendulum, and an Acrobat robot arm are considered. The control and optimization performances of the proposed SCSO algorithm are compared with well-known metaheuristic algorithms. The simulation results show that the proposed control method can either outperform the compared metaheuristic-based algorithms or have competitive results. DA - 2023-03 DB - ResearchSpace DP - CSIR J1 - Heliyon, 15(2) KW - Metaheuristic algorithms KW - Nonlinear systems KW - Sand cat swarm optimization KW - SCSO KW - State feedback control KW - Trajectory control LK - https://researchspace.csir.co.za PY - 2023 SM - 2405-8440 T1 - Sand cat swarm optimization-based feedback controller design for nonlinear systems TI - Sand cat swarm optimization-based feedback controller design for nonlinear systems UR - http://hdl.handle.net/10204/13137 ER -27078