3results about How to "Improve global convergence" patented technology

The present application provides a kind of physical constraint converter steelmaking multi-physical field soft measurement method and system of teacher-student network, it is related to industrial process control technical field.First, build the mechanism model of converter steelmaking thermal fluid dynamics including parameterized dynamic source term, including thermal fluid dynamics control equation, parameterized dynamic source term;Teacher network is constructed and trained to obtain fluid dynamics benchmark;Student network is then constructed, student network executes selective knowledge distillation mechanism to carry out fluid dynamics calculation and thermochemical reaction dynamics inversion;The student network is parallel with teacher network, and the velocity field and pressure field of knowledge distillation teacher network are distilled, and the final physical output of student network forward propagation is expanded to five-dimensional physical quantity;Finally, unknown thermal fluid reaction source term and student network weight are jointly optimized and parameter inversion.The method greatly improves the self-adaptive ability of model when facing the highly fluctuating reaction kinetics in actual industry.

The invention discloses a probe layout optimization method, device and system for an air interface test and a storage medium, and the method comprises the steps: training a preset training model according to a reference test data set obtained in advance, and obtaining a reference model; obtaining antenna characteristic data and probe characteristic data of the current detected equipment; inputting the antenna feature data and the probe feature data into a reference model to obtain target probe layout information; performing instruction conversion according to the target probe layout information to obtain an axial control instruction; and sending an axial control instruction to a mechanical movement mechanism, and driving at least one test probe to move to a corresponding target position in the probe layout information. And by using the physical information neural network, the calculation efficiency and global convergence of probe position optimization are improved. And the condition number of the channel matrix is reduced from the physical level, the ill-conditioned matrix problem is effectively improved, and the stability and the measurement precision of wireless cable construction are improved. The probe position is changed by driving a mechanical mechanism, and the testing efficiency is improved.

This application discloses an automated vehicle window ventilation and temperature regulation method and system based on fuzzy control, belonging to the field of automated vehicle window control technology. The method includes: real-time acquisition of in-vehicle and out-of-vehicle environmental data, preprocessing to obtain preprocessed in-vehicle and out-of-vehicle environmental data; inputting the preprocessed in-vehicle and out-of-vehicle environmental data into a fuzzy control system to construct a fuzzy rule base for the fuzzy control system; optimizing the fuzzy control system based on the Zebra optimization algorithm and the preprocessed in-vehicle and out-of-vehicle environmental data to obtain an optimized fuzzy control system; and dynamically adjusting the opening and closing degree of the vehicle window through a window motor actuator using the optimized fuzzy control system based on subsequently obtained in-vehicle and out-of-vehicle environmental data. This application, based on in-vehicle and out-of-vehicle environmental data and combined with a fuzzy control system for optimized control, overcomes the shortcomings of existing technologies in complex environment adaptability, multi-objective optimization capability, and global convergence performance, achieving efficient and precise vehicle window ventilation and temperature regulation.