8 results about "Differential method" patented technology

The invention discloses a dynamic optimization method for a USV-AUV collaborative navigation network topological structure based on a consensus algorithm, and relates to the technical field of collaborative navigation of an ocean unmanned system. Comprising the steps that according to a positioning equation between the unmanned surface vehicles and the autonomous underwater vehicles, the relation between the positioning error of the autonomous underwater vehicles and the distance measurement error between the unmanned surface vehicles and the distance measurement error between the autonomous underwater vehicles and the position error between the unmanned surface vehicles is constructed through a partial differential method; designing a positioning precision evaluation function by using an optimal estimation criterion; solving an optimal solution for the evaluation function by using an alternating direction multiplier method, and performing consistency estimation on a formation center and adjusting dynamic formation parameters through a consensus algorithm to obtain an optimal topological structure; and acquiring the number of the formation aircrafts in real time, if the number of the formation aircrafts changes, performing iteration, and if the number of the formation aircrafts does not change, keeping a topological structure. The method is high in dynamic adaptability, constraint collaborative optimization is achieved, the safety margin is improved, and robustness is enhanced.

The invention relates to the technical field of power grid planning, in particular to a high-performance parallel automatic differential method, system, equipment and medium for main distribution micro power flow nonlinear optimization, and by adopting the method provided by the invention, modeling is carried out based on a main distribution micro power flow nonlinear optimization problem, and an expression diagram is constructed; considering that a large number of isomorphic constraints exist in the problem, the constructed expression graphs are subjected to grouping management, and an automatic differential calculation function pointer used for calculating each group of instances is generated for a plurality of obtained expression groups. And finally, based on the constructed automatic differential calculation function pointer, introducing an OpenMP parallel framework, and carrying out automatic differential parallel calculation on each expression group. Based on the experimental result of opfbenchmark, the method provided by the invention improves the calculation efficiency of automatic differentiation by 47% in the main distribution micro nonlinear optimization problem.

The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal device, and relates to the technical field of tracking differential. The application discloses a half cosine type fastest tracking differential method, a system and a terminal

The invention relates to the technical field of automatic control, in particular to an AGV (Automatic Guided Vehicle) bracket multi-axis linkage synchronous control system based on self-adaptive PID (Proportion Integration Differentiation), which comprises a displacement analysis module, an error analysis module, a coupling calculation module, a self-adaptive PID module and a control optimization module. According to the method, the directional error amount is constructed by collecting the displacement difference and combining the acceleration and the angular velocity change, so that the error signal forms an analyzable gradient along the structure direction and establishes dynamic association among multiple axes, and the synchronous response of each axis to the attitude change and the load disturbance is enhanced in a differential mode; the control parameters automatically adjust the proportional integral differential weight along with the error correlation degree, the control quantity forms more balanced distribution among multiple axes and is subjected to component correction and weighting processing to obtain the adjustment output better fitting the structure motion characteristic, the multi-axis collaboration is kept stable under the dynamic load, the attitude keeping capability and the track following precision are synchronously improved, and the control precision is improved. And the overall operation reliability is enhanced.

This invention relates to the field of data version management and differential storage technology. It discloses a differential method for recording hearing aid fitting data and processes. The method includes acquiring the complete parameter set of the current fitting session and recording it as a parameter mirror node as a backtracking anchor point. For each parameter modification operation, a differential operation node containing parameter identifier, parameter value before modification, parameter value after modification, and time information is recorded. The parameter mirror nodes and differential operation nodes are interleaved and organized into a fitting parameter record chain according to their generation time, enabling reconstruction to be performed using "mirror-based, differential accumulation." After adding a new differential operation node, a new parameter mirror node is generated and appended in a timely manner according to recording control conditions, dynamically limiting the differential depth and reconstruction overhead. When it is necessary to restore the complete parameter set under the corresponding time information, the nearest parameter mirror node is located and subsequent differential operation nodes are applied sequentially, achieving stable reproducibility with traceability and controllable storage.

The invention relates to the field of flight data storage, and relates to a model-based QAR data lossless compression method and system, the method comprises the following steps: obtaining QAR data, an initial value and preset equation set information, the initial value comprising an initial value of an aircraft flight state; the QAR data are screened, the screened QAR data are obtained, and the screened QAR data comprise related data needed by equation set calculation; determining first compressed data according to the screened QAR data and preset equation set information; according to the QAR data, the preset equation set information, the initial value and the first compression data, calculation is conducted, and second compression data is obtained.The QAR data lossless compression method integrating a physical model and a difference method is provided, the compression proportion of the QAR data is effectively increased, and the requirement for storage space is reduced.

The invention relates to the technical field of flood control management, in particular to a flood control reverse rehearsal method based on risk constraint and state variable reverse differentiation, which comprises the following steps: firstly, introducing a time-varying critical water level threshold, establishing a differential equation, generating a threshold curve by reverse integration, and defining downstream flood control risk constraint; a river hydrodynamic model and a reverse calculation equation are built, and a downstream water level target is converted into the drainage demand of an upstream reservoir through reverse recursion; introducing reservoir dual dynamic constraints, and deducing and regularizing a discharge reverse differential equation by using an implicit differential method; according to the method, a scheduling chain can be traced back to realize decision transparency, the framework is modularized, the expandability is high, the method can be popularized to various water conservancy systems, and the application prospect is wide.

This invention discloses a method for identifying dynamic photovoltaic (PV) module parameters based on a reinforced differential evolution algorithm. Based on existing fractional-order dynamic models, the output characteristic function is analytically obtained. The root mean square error (RMSE) of the difference between the actual value and the model's calculated value is used as the optimization objective. An improved differential method based on reinforcement learning and multi-strategy is designed to obtain the optimized unknown parameters. The parameters are iteratively updated according to the optimization objective. The introduction of the multi-strategy method allows the algorithm to balance wide-area search and local optimization, while reinforcement learning enables adaptive strategy selection. This invention not only achieves accurate parameter extraction for various PV models, especially fractional-order dynamic PV models, but also considers algorithm complexity and convergence speed, providing an effective solution for parameter identification of fractional-order dynamic PV models.