6 results about "Fuzzy method" patented technology

The present application relates to micro energy network multi-objective optimization scheduling model, including: for micro energy network, establish multi-objective optimization scheduling model;Improved weighted fuzzy method is constructed;Specifically, including: constructing membership function, each sub objective function is fuzzy;According to the actual operation of micro energy network, determine the weight coefficient of each sub objective function at different time;The multi-objective optimization scheduling model is converted into single objective optimization scheduling model;Solve through traditional nonlinear optimization theory.The present application, improved weighted fuzzy method, the membership function and the weight setting of multi-objective function are optimized, the comprehensive coordination between multi-objective is improved, and the robustness of the algorithm is also improved, and the optimization scheduling model achieves the purpose of optimizing the output of each device in the operation process of micro energy network.

The invention discloses a construction and control method of a land pollution abatement system, and belongs to the technical field of environmental pollution abatement, and the method comprises the steps: constructing a land pollution abatement model described by a singular partial differential equation; the model is converted into a control system with a movable sprayer as an original point through coordinate transformation; carrying out approximate linearization on a nonlinear term in the system by utilizing a T-S fuzzy method, and designing an interval observer and a controller capable of estimating upper and lower bounds of a system state based on the approximate linearization; the bounded tolerance of the system is analyzed based on the Lyapunov stability theory, the gain of an interval observer and the gain of a controller are obtained by solving a linear matrix inequality, and the gains are applied to the designed observer and the designed controller to complete closed-loop control. According to the method, unknown soil conditions and external interference can be effectively handled, the control robustness is ensured through interval estimation, the limitation that a traditional model only depends on a partial differential equation is avoided, and accurate and stable treatment on polluted land is achieved.

This invention proposes a dynamic scene deblurring method and system based on 4D Gaussian representation and pseudo-ground value supervision. The method includes: obtaining a sharp image and a rendered depth map from a 4D Gaussian representation; predicting the motion velocity of dynamic pixels using a velocity MLP network based on the rendered depth map; constructing a fuzzy weight network and predicting the contribution weight of each sampling point on the sampling trajectory; fusing the pseudo-sharp image with the original blurred input using a dynamic region mask to obtain a hybrid pseudo-ground value image; synthesizing a physically blurred image through weighted integration; and constructing a dual-domain reconstruction loss and geometry-motion regularization constraints by combining hybrid pseudo-ground value supervision and gradient decoupling strategies to jointly optimize the scene representation, motion parameters, and fuzzy model, thereby obtaining a sharp dynamic scene representation. This invention achieves explicit modeling of the physical blurring process through 4D Gaussian representation and a fuzzy weight network, improving the realism and view consistency of motion blur synthesis.

The invention provides a fuzzy method for determining an optimal evacuation strategy of a storm, and relates to the technical field of natural disaster assessment, and the method comprises the steps: obtaining an initial intuitionistic fuzzy set through normalization processing based on an alternative scheme and an evaluation standard of a storm emergency decision; based on the initial intuitionistic fuzzy set, obtaining a standard intuitionistic fuzzy weight through calculation; summarizing the initial intuitionistic fuzzy sets to obtain a collective intuitionistic fuzzy decision matrix; performing weighting processing on the collective intuitionistic fuzzy decision matrix by using the standard intuitionistic fuzzy weight to obtain an intuitionistic fuzzy evaluation result of the alternative scheme; and based on the intuitionistic fuzzy evaluation results of the alternative schemes, sorting the alternative schemes to obtain a storm emergency decision result, and completing fuzziness for determining the optimal evacuation strategy of the storm. According to the method, the problem that a feasible emergency decision is difficult to provide for an unconventional sudden storm event is solved.

The application discloses a state interval estimation method for activated sludge treatment process based on an interval observer. Considering a large amount of uncertainty existing in a sewage treatment process, the application studies state interval estimation of an activated sludge system composed of an aeration tank and a sedimentation tank. Firstly, a mathematical model is established for a dynamic process of activated sludge reaction. Secondly, a T-S (Takagi-Sugeno) fuzzy method is used to perform pseudo-linearization processing on the established nonlinear model, so that a T-S fuzzy system is obtained, and the complexity of the model is reduced. Finally, an interval observer is designed for the T-S fuzzy model, the interval observer has interference robustness, and through the interval observer, the upper limit and the lower limit of the state of the activated sludge treatment process can be estimated, thereby providing a new thought and method for state monitoring of the activated sludge treatment process.

The invention relates to the technical field of passive positioning, and discloses a three-satellite time difference positioning method, system and device for a high-repetition-frequency target and a medium, and the method comprises the steps of information acquisition, time difference classification and preliminary positioning, ambiguity resolution positioning and result integration output. According to the method, time difference classification and preliminary positioning are carried out, the repeatability of pulse numbers is taken as a judgment basis, time delay difference data are clearly divided into a fuzzy pulse set and a non-fuzzy pulse set, a positioning result is directly generated for non-fuzzy pulses, and invalid processing is avoided; and for the fuzzy pulse, a pulse cluster of a real target is accurately focused through a flow of time difference window straight grid division-time difference number statistics-effective straight grid screening. By means of signal classification processing and multi-target sequential processing, the ambiguity resolution method for the high-repetition-frequency target in the satellite view field range can be achieved, and therefore multi-target high-reliability positioning is achieved.