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4results about How to "Improve convergence speed" patented technology

A method for predicting the dominant frequency of blasting vibration by integrating parameter fluctuation processing and dream optimization algorithms.

This invention provides a method for predicting the dominant frequency of blasting vibration by integrating parameter fluctuation processing and the Dream Optimization Algorithm (DOA), belonging to the field of underground engineering safety control technology. The system includes a data acquisition and uncertainty modeling module, a data preprocessing and feature construction module, a hyperparameter optimization module, and a prediction model training and result output module. The method obtains relevant parameters through on-site investigation and monitoring, and generates an extended sample set using a combination of probabilistic perturbation modeling and fuzzy triangular modeling. The data is preprocessed and features are selected. The DOA algorithm is used to globally search the hyperparameters of the Support Vector Regression (SVR) model, and the optimal hyperparameter combination is selected by combining a robustness fitness function. The SVR model is trained, and prediction results and uncertainty prediction intervals are generated. This invention can explicitly characterize the uncertainty of geological parameters, achieve efficient global optimization of hyperparameters, improve prediction accuracy, robustness, and generalization ability, and is applicable to different geological conditions and blasting scenarios. It can be extended to various blasting dynamic response prediction tasks.
Owner:CHINA THREE GORGES UNIV

Strategy generation method for combined heat and power based on generalized nash equilibrium algorithm solving

ActiveCN116797252Bincrease flexibilityexact convergencePower balancingCogeneration
The application provides a strategy generation method for combined heat and power based on a generalized Nash equilibrium algorithm, comprising the following steps: constructing a combined heat and power system under related constraints; wherein the upper limit of the thermal comfort of each consumer and the relationship between the consumer utility and energy consumption are considered; the problem to be solved by each company is determined by considering the decision information of all energy companies; wherein the objective function of the combined heat and power system model is determined according to the upper limit and the lower limit of the production efficiency of each company, the production plan of the company which needs to follow the power balance and the thermal balance, and the problem to be solved by each company; when the global decision information of other companies is obtained, the decision of each company is obtained by solving based on the edge-based distributed generalized Nash equilibrium algorithm under the global decision information, including the demand and the price of thermal energy and electric energy in each round of auction.
Owner:SOUTHWEST UNIV

A method and system for introducing composite learning into nonlinear system output feedback adaptive control

ActiveCN122018335BEliminate Computational Overheadlow costAdaptive controlControl systemArtificial intelligence
The application belongs to the technical field of nonlinear system control, and discloses a method and system for introducing composite learning into nonlinear system output feedback adaptive control. The application directly reuses the existing K-filter in standard output feedback backstepping control to construct an extended prediction error, and does not need to establish an additional observer or a state estimation model (such as a series-parallel estimation model, a fuzzy observer, etc.) in parallel with the K-filter. This functional reuse design eliminates the calculation overhead of the additional dynamic system, reduces the storage requirement and real-time calculation burden of the controller, and significantly reduces the hardware implementation cost and system debugging complexity. Meanwhile, through the composite driving of the tracking error and the extended prediction error, the cumulative information is continuously introduced by using the historical memory of the regression quantity, so that the adaptive and self-learning ability of the control system is significantly enhanced, and the parameter estimation convergence and the system response performance are improved.
Owner:CHINA AERODYNAMIC RES & DEV CENT EQUIP DESIGN & TESTING TECH INST

A free-form surface adaptive measurement device and method based on fourier spot analysis

PendingCN122258784AImprove convergence speedExcellent convergence abilityUsing optical meansMeasurement deviceMechanical engineering
The application discloses a free-form surface adaptive measurement device and method based on Fourier spot analysis, in particular to a free-form surface adaptive zero-position interferometer device for large surface shape deviation, and belongs to the field of optical detection. The device comprises a light source system, an adaptive compensation system, an interference system and a surface to be measured. The liquid crystal spatial light modulator is used for guiding aberration compensation of the adaptive element through analysis of Fourier transform spots of the system, and the dependence on an interference pattern is broken, so that the measurement range of the traditional adaptive interferometer is greatly expanded, and destructive modification of a traditional interferometer light path is not needed.
Owner:SHANGHAI INST OF OPTICS & FINE MECHANICS CHINESE ACAD OF SCI