ECU Software Fault Injection Testing Tool Compliant with Functional Safety Standards – FIT

FIT is a runtime software fault injection testing tool, with the following main features: Simulates faults by manipulating memory, registers, task scheduling, and ALARM scheduling; Supports software fault injection (including BSW and ASW) during ECU runtime; Fault injection testing complies with ISO 26262 standards; Achieved ASIL D level certification for functional safety; Allows fault injection … Read more

Drone Control: Optimization of Control Using Genetic Algorithms in MATLAB (Optimizing Gain Parameters Eta and K to Reduce Energy Consumption) [Includes MATLAB Source Code Issue 13654]

Click the blue text above to follow us Message from the Author 🔊 Author Introduction: Graduate from a 985 university, researcher and developer in the field of MATLAB; 🚅SeatRightInscription:Those who travel a hundred miles are half of those who travel ninety. ✅Business Scope: Complete Code, Paper Reproduction, Program Customization, Journal Writing, Research Collaboration 🏆CodeAcquisitionMethod:Method to … Read more

MATLAB | Calculation Method for Single Point Extreme Precipitation Index

Click/Press/Blue/Words Follow/Us { MATLAB| Calculation Method for Single Point Extreme Precipitation Index Author: Li Zhi, Eighth Galaxy Email: [email protected] } 1 Rx1day The maximum daily precipitation, which is straightforward and can be solved using the max() function. 2 Rx5day The maximum precipitation over 5 consecutive days, which includes several conditions: 1) 5 consecutive days; 2) … Read more

Innovative Positioning Code in MATLAB: Tight Coupling Filtering of GNSS and AOA for Sensor Fusion

GNSS_AOA filtering, using the concept of tight coupling between GNSS and AOA for the fusion filtering of three sensors, EKF, in a two-dimensional environment. The fused data includes: GNSS XY position, AOA angle information, and speed information collected from inertial navigation or dead reckoning. Table of Contents Program Overview 1. System Overview 2. Function Overview … Read more

Trajectory Tracking and Stability Control of Distributed Drive Electric Vehicles Based on MATLAB

Trajectory Tracking and Stability Control of Distributed Drive Electric Vehicles Based on MATLAB① The upper layer of the controller uses Model Predictive Control (MPC) to determine the front wheel steering angle (δ) and additional yaw moment (ΔMz), achieving trajectory tracking control and stability control for autonomous distributed electric vehicles in a Double Lane Change (DLC) … Read more

Analysis of Automotive Experimental Data Using Logistic Regression Model with Markov Chain Monte Carlo (MCMC) in MATLAB

Original link: http://tecdat.cn/?p=24103 This example illustrates how to perform Bayesian inference using a logistic regression model (click “Read the original” at the end of the article to obtain the complete code data). Statistical inference is typically based on Maximum Likelihood Estimation (MLE). MLE selects parameters that maximize the likelihood of the data, which is a … Read more

A Day Frustrated by Matlab

Although I know that being unhappy all the time is not good, I really didn’t feel much better today.Frustrating software, from installation in the morning to afternoon. Various issues, not enough memory, which is of course a problem with my computer. I’ve been criticized by my junior, but what can I do? My computer has … Read more

Analysis of Exchange Rate Time Series Using MCMC Markov Chain Monte Carlo Method for Stochastic Volatility SV and GARCH in MATLAB

Full text download link: http://tecdat.cn/?p=27340 Volatility is an important concept with many applications in finance and trading. It is the basis for option pricing. Volatility also allows you to determine asset allocation and calculate the Value at Risk (VaR) of a portfolio. (Click “Read the original” at the end for complete code data ) . … Read more

MATLAB Example: K-Means Clustering Code Routine with Data Generation, Clustering Calculation, Result Display, and Error Output

The MATLAB code described in this article implements a complete demonstration of the K-Means clustering algorithm, suitable for data clustering learning and algorithm validation. The code intuitively demonstrates the working principle and performance of K-Means through simulated data generation, clustering analysis, result visualization, and error assessment. Table of Contents Program Introduction Core Functions of the … Read more

Distributed Economic Dispatch Strategy for Power Systems Based on MATLAB Multi-Agent System Consensus Algorithm

Main Content: The code primarily implements a distributed dispatch strategy for power systems, specifically a distributed economic dispatch method based on the multi-agent consensus algorithm, where the consensus variables are the incremental costs of generator units and the flexible load increments. The following text and example code are for reference only. Article Directory 📌 Problem … Read more