###### Abstract
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Type**} & **Bending** & **Compressive** & **Tensile** & **Shear Strength** & **Flexural Modulus** & **Densities** \\  & **Strength (Mpa)** & **Strength (Mpa)** & **(Mpa)** & **of Elasticity (Mpa)** & **(g/cm\({}^{3}\))** \\ \hline \hline \begin{tabular}{c} Bamboo-based \\ fiber \\ composites \\ \end{tabular} & 33.8 & 22.8 & 16.3 & 3.69 & 8300 & 1.13 \\ \begin{tabular}{c} Larch tree \\ \end{tabular} & 17 & 15 & 9.5 & 1.6 & 1000 & 0.60–0.70 \\ \begin{tabular}{c} Camphor pine \\ \end{tabular} & 13 & 10 & 8 & 1.4 & 9000 & 0.40–0.50 \\ \begin{tabular}{c} Oak wood \\ \end{tabular} & 17 & 16 & 11 & 2.4 & 1100 & 0.80–0.90 \\ \begin{tabular}{c} Birch \\ \end{tabular} & 15 & 14 & 10 & 2 & 1000 & 0.60–0.70 \\ \
\begin{tabular}{c} C30 concrete \\ \end{tabular} & — & 14.3 & 1.43 & — & 3000 & 2.20–2.40 \\
\begin{tabular}{c} Q235 \\ \end{tabular} & — & 215 & 215 & 125 & 206,000 & 7.85 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Comparison of along-grain performance between bamboo-based fiber composites and common building materials. Figure 1: Bamboo-based fiber composite processing flow chart. the optimal controller parameters. The results show that the controller possessed good robustness, excellent control performance, and an anti-disturbance capability in the main steam temperature control system. [PERSON] et al. [11], in order to solve the problem of a double-reheating boiler facing many control challenges in terms of the reheated steam temperature (RST), proposed an ADRC-based temperature control scheme, and combined with their experimental results, it can be seen that the control scheme, to a certain extent, could replace the initial manual mode control of the RST temperature control system, which significantly improved the quality of controlling the hot steam temperature and provided ideas for further research on RST control. [PERSON] et al. [12], in response to the problem of efficiently controlling the superheated steam temperature, proposed a hybrid method of receding-horizon optimization and active disturbance rejection for controlling the boiler superheated steam temperature (RHO-ADRC), which makes the receding-horizon optimization independent of the model of the plant in terms of making full use of the closed-loop desired dynamics under active disturbance rejection control. The results showed a 20% improvement in the performance of this method compared to the traditional ADRC method. To tackle the aforementioned challenges, this study introduces a hot-pressing temperature control system for bamboo-based fiber composites, grounded in the principles of active disturbance rejection control (ADRC). ADRC holds significant practical importance as an efficient control strategy, capable of estimating and compensating for both internal and external unknown disturbances [13]. Within this framework, a discrete tracking differentiator (TD) is employed to mitigate the time-varying and nonlinear complexities of the system [14]. Additionally, a nonlinear expanded state observer (ESO) is utilized to estimate and compensate for the system's time lag, thereby enhancing its responsiveness and stability [15]. This research aims to facilitate high-precision temperature control in heavy-duty multilayer hot presses, ultimately improving the quality of the resulting bamboo-based fiber composites.