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Lessons List | 45 Lesson
Vehicle Path Tracking Using Model Predictive Control
00:16:18

Vehicle Path Tracking Using Model Predictive Control
Vehicle Path Tracking Using Stanley Controller
00:18:29

Vehicle Path Tracking Using Stanley Controller
Vehicle Path Tracking Using Pure Pursuit Controller
00:10:35

Vehicle Path Tracking Using Pure Pursuit Controller
Simulating Longitudinal and Lateral Vehicle Dynamics
00:09:14

Simulating Longitudinal and Lateral Vehicle Dynamics
Modeling of a Continuously Variable Transmission CVT BAJA All Terrain Vehicle ATV
00:16:50

Modeling of a Continuously Variable Transmission CVT BAJA All Terrain Vehicle ATV
Vehicle Modeling Using Simscape Multibody
00:22:47

Vehicle Modeling Using Simscape Multibody
Vehicle Modeling Using Simscape
00:22:00

Vehicle Modeling Using Simscape
ECU Tuning and Data Logging Using CAN and Simulink
00:16:56

ECU Tuning and Data Logging Using CAN and Simulink
Programming ECUs Using Simulink
00:17:20

Programming ECUs Using Simulink
Vehicle Modeling Using Powertrain Blockset
00:18:29

Vehicle Modeling Using Powertrain Blockset
Vehicle Modeling Using Simulink
00:30:42

Vehicle Modeling Using Simulink
TUfast Eco Team s Longitudinal Cruise Controller
00:20:56

TUfast Eco Team s Longitudinal Cruise Controller
Real Time Simulation and Testing of a Throttle Valve Controller
00:29:34

Real Time Simulation and Testing of a Throttle Valve Controller
Design Optimization What s Behind It
00:29:25

Design Optimization What s Behind It
Developing Algorithms for ADAS Systems with MATLAB and Simulink
00:32:49

Developing Algorithms for ADAS Systems with MATLAB and Simulink
Your Keys to Success Our Views
00:10:16

Your Keys to Success Our Views
A MicroAutoBox Workflow
00:47:27

A MicroAutoBox Workflow
Steady State Lap Time Simulation
00:27:20

Steady State Lap Time Simulation
Modeling to Understand and Improve Your Brake System
00:14:52

Modeling to Understand and Improve Your Brake System
Processing CFD Simulation Data
00:18:49

Processing CFD Simulation Data
Simulink Tips and Tricks
00:36:48

Simulink Tips and Tricks
Virtual Test Driving
00:38:07

Virtual Test Driving
Modeling Vehicle Dynamics
00:21:12

Modeling Vehicle Dynamics
Basics of Code Generation
00:16:03

Basics of Code Generation
Student Teams Use MATLAB and Simulink in the Formula Student Germany Racing Competition
00:03:32

Student Teams Use MATLAB and Simulink in the Formula Student Germany Racing Competition
Modeling Physical Components Part 2 Data Driven Concepts
00:29:55

Modeling Physical Components Part 2 Data Driven Concepts
Modeling Physical Components Part 1 Mathematical Models
00:29:50

Modeling Physical Components Part 1 Mathematical Models
From Model to Racing in Five Minutes
00:32:38

From Model to Racing in Five Minutes
Principles of Control Design
00:31:28

Principles of Control Design
CAN Communication with Your ECUs and the Vehicle Network Toolbox
00:29:50

CAN Communication with Your ECUs and the Vehicle Network Toolbox
Torque Vectoring Controller Design Tuning and Testing
00:27:36

Torque Vectoring Controller Design Tuning and Testing
Lap Time Simulation Essential Part of Concept Development
00:34:06

Lap Time Simulation Essential Part of Concept Development
Developing a New Control Unit Using an FPGA
00:23:39

Developing a New Control Unit Using an FPGA
Driver in the Loop Simulations
00:33:09

Driver in the Loop Simulations
MATLAB Tips and Tricks
00:31:35

MATLAB Tips and Tricks
Tire Modeling Extracting Results from a Large Data Set
00:46:49

Tire Modeling Extracting Results from a Large Data Set
Determining Chassis Stiffness with MATLAB
00:17:25

Determining Chassis Stiffness with MATLAB
Battery Modeling with Simulink
00:33:46

Battery Modeling with Simulink
From Telemetry Data to Suspension Modeling
00:34:31

From Telemetry Data to Suspension Modeling
Reduce Testing Time by Vehicle Modeling
00:21:26

Reduce Testing Time by Vehicle Modeling
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Course Description

Simulink is graphical and more interactive to the user. Whereas the Matlab is coding based approach based on the different function available in Matlab.
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