“…On the one hand, various improved PID combined with modern and intelligent methods is designed to improve the antidisturbance capability. On the other hand, model‐based methods such as backstepping control (Li & Lee, 2005; Tran et al, 2021), sliding mode control (SMC) (Koofigar, 2014), adaptive control (Pezeshki et al, 2016), model predictive control (Shen et al, 2017; Yao et al, 2019), neural network (Askari et al, 2022), reinforcement learning (Tong et al, 2023; Wang et al, 2024), and other Artificial Intelligence methods are proposed to enhance the adaptability and robustness. While the aforementioned literatures have demonstrated excellent depth‐tracking control performance, the majority of them heavily rely on exact mathematical models, which are typically challenging to come by in practice (Shi et al, 2017).…”