# Special Issue on Advanced Optoelectronic Devices and Systems: An Overview
## 2 An Overview of the Published Articles  
In the process of mirror design, mirror shape and quality errors affect the image quality of the optical system. The traditional design process always requires manual, repetitive work and relies more on experience. The article by [PERSON] and others (contribution 1) discusses the process of intelligent multi-objective parametric optimization design for mirrors. A non-dominated sorting genetic algorithm (NSGA) is used as the multi-objective optimization algorithm to achieve intelligent variable parameter optimization design. Python is used to achieve data interaction between Abaqus and MATLAB. The author takes the shape error and total mass of an aluminum alloy mirror with an aperture of 140 mm as an example. The Pareto optimal solution set of the mass and surface shape error under 1 g of gravity was obtained to find the required solution and satisfy the optimization goal, which verified the effectiveness of this method. Compared with traditional design methods that rely on experience, future research can make use of advanced intelligent optimization algorithms to perform multi-objective optimization of mirror structures under more complex constraints and working conditions. As an advanced optoelectronic device, the piezoelectric drive platform is widely used in optoelectronic systems because of its characteristics of micro- and nanopositioning. For the inherent nonlinear characteristics of piezoelectric materials. The article by [PERSON] (contribution 2) proposes a hybrid adaptive control (HAC) strategy based on a hysteresis controller. Firstly, an improved differential evolution algorithm and a least-squares algorithm are used to identify the static hysteresis sub-model and dynamic linear sub-model for the Hammerstein model, respectively. Secondly, a hysteresis controller based on the inverse BW model is designed to suppress the influence of hysteresis on the precision of P-AS. Finally, the HAC method based on a hysteresis compensator is proposed for increasing the control accuracy. In the study, the author proves the stability of the system by means of Lyapunov stability theory and performs a series of comparative tests with the hysteretic compensation controller based on the inverse BW model and MRAC. The experimental results show that the HAC method is effective for the accurate localization of P-AS. For the photoelectric target recognition system, to design a high-magnification zoom lens, in addition to the need for fast zoom speed, the accurate positioning of the lens group is also very important. [PERSON]'s article (contribution 3) proposes a zoom lens design scheme that integrates VCM and TMR sensors together and directly converts the linear motion of the voice coil motor into the motion of the lens, thereby increasing the zoom speed of the zoom lens. In terms of precise positioning, the author designed a high-precision magnetic-scale closed-loop control system. According to the actual performance requirements of a 40\(\times\) zoom lens, the author describes in detail the motion trajectory planning of a voice coil motor, the structure size of the VCM, and the design process of the coil. By comparing the zoom speed with the traditional stepper motor, the fast zoom speed of the VCM zoom lens is verified. The positioning accuracy was tested under the ISO 230-2-1997 standard [16], and the experimental results showed that the positioning error was less than 5 \(\upmu\)m.  
Advances in photodetectors have enabled larger imaging areas with smaller pixels, which require faster data acquisition frequencies and greater data transmission volumes. [PERSON]'s article (contribution 4) demonstrates a unified, scalable data acquisition system based on the bluesky suite. In the study, the development and application of the data acquisition system on SSRF's BL07U beamline are presented. In the control and data acquisition architecture, the hardware layer, control layer, data acquisition layer, and operator interface layer are designed successively from bottom to top.