aspg-3-2353-1791417375 20261007235615 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Fusion: Practice and Applications FPA 2770-0070 2692-4048 2024 14 1 Ghufran abdulqader alhaddad College of Engineering, Al-Qadisiyah University, Iraq Anass yousif abass College of Medicine, Al-Qadisiyah University, Iraq Nora Ahmed Mohammed College of Engineering, Al-Qadisiyah University, Iraq The world has become more like a small community thanks to the internet, which connects millions of people, businesses, and pieces of technology for a variety of uses. Because of the significant influence these networks have on our lives, maintaining their efficiency is important, which necessitates addressing issues like congestion. In this study, PI-controller gains are adjusted using a variety of optimization strategies to regulate the nonlinear TCP/AQM model. This controller commits controlled pressured signaling characteristics and modifies computer network congestion. First manual tune PI-Controller are used; then several optimization techniques were used to tune PI-controller gains (Particle Swarm Optimization (PSO), Ant-Colony Optimization (ACO) and Simulated Annealing algorithm (SA)) and then Linear Quadratic Regulator theory are used. To test the reliability and effectiveness of each of the suggested controllers, several tests utilizing varied network parameter values, different queue sizes, and extra disturbances were conducted. MATLAB was used for all experiments., the results show the superiority of the LQR controller over PI controller with both manual and optimal tuning techniques. 2024 309 319 2353 https://creativecommons.org/licenses/by/4.0/ 10.54216/FPA.140123 https://www.americaspg.com/journal/3/article/2353 https://www.americaspg.com/storage/11703717706.pdf