3results about How to "Solve the small size" patented technology

Aiming at the problem of missile terminal guidance with no-fly zone and impact angle constraints, a model predictive static programming guidance law based on control barrier function is proposed. The proposed algorithm inherits the high efficiency of the traditional model predictive static programming while ensuring the no-fly zone constraints. The main reasons are as follows: first, the projection operator under the linear inequality constraints has an explicit expression, avoiding additional optimization solving; second, due to the forward invariance of the control barrier function, the no-fly zone constraints do not need to be imposed at all discrete nodes, but only at one or a few discrete nodes, reducing the scale of solving. The simulation results show that the proposed algorithm can meet the no-fly zone and impact angle constraints while ensuring high computational efficiency. Subsequent research will focus on trajectory optimization and guidance problems with multiple no-fly zone constraints, even dynamic no-fly zone constraints.

The application discloses a provincial power grid day-ahead plan hierarchical progressive optimization method containing multiple pumped storage power stations, which comprises the following steps: obtaining basic data of a power system; establishing a power system day-ahead plan optimization model containing multiple pumped storage power stations; calculating day-ahead plan output values of wind, light and conventional units; further calculating start-stop plan of each pumped storage unit according to the plan output values; and finally obtaining day-ahead output plan values of each unit by solving the pumped storage start-stop plan. The application can overcome the difficulty in convergence when the scale of integer problems and linear programming problems is large even if mature optimization solvers such as CPLEX and GLPK are used, make large-scale integer linear mixed programming problems converge better, meet the online application requirements of day-ahead plan making, and have important practical significance for fully utilizing new energy and efficiently operating pumped storage power stations.

The invention discloses an automatic home layout method and device and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining the house type structure information of a target space and the commodity information of candidate home commodities, and then determining an effective layout region of each candidate home commodity, screening out a feasible home commodity set from the candidate home commodities based on the effective layout area; based on a preset sorting strategy, sorting the commodities in the feasible household commodity set to obtain a sorting result; determining a to-be-arranged target commodity combination from the feasible household commodity set according to a sorting result; and performing layout optimization on the to-be-arranged target commodity combination by taking the layout region set as a search space, and outputting a layout scheme meeting a preset cost threshold value. According to the method and the device, the problems of low generation efficiency and slow response speed of the automatic home layout scheme in the prior art are solved, and the technical effect of remarkably improving the scheme generation speed on the premise of ensuring the layout rationality is realized.