4 results about "Minimum norm" patented technology

This invention discloses a multi-objective collaborative optimization control method and system for energy storage systems. The method establishes an optimization problem model encompassing three objectives: economic cost, battery life degradation, and deviation from safety constraints. Local state data and external environmental data are fused to form a real-time optimization problem. The upper layer automatically determines the Pareto optimal weight vector by solving the minimum norm convex combination of the gradient vectors of each objective, and obtains a uniformly covered Pareto optimal solution set by combining angle sector partitioning and hole-oriented repair. The middle layer achieves efficient collaboration through a distributed ADMM that allocates adaptive step sizes based on the rated capacity of each energy storage unit and embeds a recursive momentum estimator, outputting a globally coordinated charge and discharge plan. This invention solves the problems of manually preset multi-objective search weights, uneven solution set coverage, low convergence efficiency of distributed collaborative control of multiple energy storage units, and poor robustness under extreme operating conditions.

This invention discloses a method for locating minor defects in power cables based on the CFI-Z algorithm. It obtains the reflection coefficient vector at the beginning of the power cable from a multi-frequency swept signal, and then, based on the continuously frequency-enhanced Z-transform matrix, acquires the minimum norm least squares solution and the closed-form solution of the power cable fault location factor. Furthermore, it obtains the sparsity intensity of the minimum norm least squares solution and the closed-form solution to arrive at the final solution of the power cable fault location factor. Finally, it obtains the location of the power cable defect based on the time-domain sequence of the reflection at the beginning of the power cable, thus completing the location of early-stage defects in the cable. This invention solves the problems of insufficient high-frequency components and bandwidth limitations in the injected pulse, resulting in high sensitivity and strong noise resistance for power cable defect location. Especially in the case of long cables or cables with minor defects, the location error is small, and it has a good effect on locating early-stage minor defects.

The invention discloses a brain source imaging reconstruction method and system based on an ADMM and a diffusion model, and the method comprises the steps: carrying out the estimation of a training source data signal and a real source data signal through a minimum norm estimation method based on a lead matrix, and obtaining a real initial source activity; constructing a sparse gradient operator according to the cortex network topology; determining a denoising mode of the diffusion model through a training demand; and in a denoising mode of the diffusion model, iterative optimization is performed on the source activity and the initial ADMM expansion network through an ADMM algorithm according to the training source data signal, the training initial source activity, the lead matrix and the sparse gradient operator to determine a loss function value, and a target ADMM expansion network is output by taking minimization of the loss function value as a target. Through coupling of physical consistency constraint and lightweight diffusion denoising of the ADMM, the brain source imaging reconstruction precision and calculation efficiency are ensured.

The invention discloses a quantum acceleration lattice signature method and system for an intelligent autonomous transportation system, and belongs to the technical field of information security. Comprising the following steps: inputting a security parameter, a large prime number modulus, a to-be-signed message and user identity information into a computer system; constructing a random matrix on a finite field based on the safety parameter and the large prime number modulus, generating a nuclear space minimum norm vector and a trap door of the matrix through a quantum circuit, and outputting a system common parameter; extracting a private key based on the system public parameter and the user identity information, storing the private key through the qRAM, and outputting the private key bound with the identity; a to-be-signed message is converted into bit vector embedding, a private key is called, a short vector signature is generated through quantum discrete Gaussian sampling, and a timestamp and a link label are bound; verifying the short vector signature by using a hash chain structure and judging signature identity relevance; and finally updating and outputting the private key. The invention aims to realize efficient private key extraction and short vector signature generation for an intelligent transportation system and improve system security.