3 results about "State transition function" patented technology

A method for managing order processing includes obtaining a set of time series datasets associated with the order processing for an order processing system, generating a state space for the set of time series datasets using bi-partite graph representations for a mixed integer program (MIP), applying a transition function on the state space to obtain state-to-state transition function, performing a graph embedding on the state-to-state transition function to obtain historical transition data, applying a transformer multi-head attention function on the historical transition data to obtain positional encodings of observation history and feature representation, and perform an agent deployment on an order processing system based on finalized state-to-state transition functions, wherein the finalized state-to-state transition functions are based on the positional encodings.

The application relates to a SQL optimization processing method based on a relational database. The method comprises the following steps: marking whether a state transition function of an aggregation function is a monotone function in a metadata table of a relational database system; pushing a filtering condition of the aggregation function into the state transition function when a query plan is generated; executing the state transition function of the aggregation function on data when the query plan is executed; substituting a result into the filtering condition; and directly processing next grouped data if the filtering condition is not satisfied. Compared with an existing processing mode, the filtering condition of the aggregation function is pushed into the state transition function of the aggregation function, records not satisfying output requirements can be found early, and the SQL execution process is accelerated. The execution time of some SQL of a database can be greatly shortened through the method, and application of the method can help to better exert the performance of the database and improve the working efficiency of the database.

The application discloses a kind of intelligent power distribution network dynamic state estimation method, system, equipment and medium, it is related to intelligent power distribution network and its automation technical field, method includes: establishing state equation described by state transition function and measurement equation described by measurement function;Based on the noise self-adapting mechanism of extended Kalman filter framework is joined to design adaptive extended Kalman filter;Combined with the sigma point and covariance regularization strategy after adaptive adjustment to design improved unscented Kalman filter;Adaptive extended Kalman filter and improved unscented Kalman filter are weighted fusion;Finally, the root mean square error of state estimation is calculated to carry out state evaluation.The application solves the problem that the estimation accuracy is insufficient and the adaptive ability to time-varying noise and model error is weak in the prior art under strong nonlinear scene.