Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Earn up to 16% annual interest with Nexo.
More flexibility. More control.
Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform.
Geographic restrictions, eligibility, and terms apply.
Quadrotor control, path planning and trajectory optimization
...It includes PD controllers, path planning via Dijkstra and A* algorithms, and trajectory optimization (minimum snap/acceleration). Run code: change trajectories in file control/runsim.m and run. See quadrotor_dynamics.pdf for dynamicmodeling of the quadrotor. See control/controller.m for implementation of the PD controller. Visualization below. Desired (blue) vs Actual (red).
This project will create a user-friendly modeling system for studying animal social aggregations. The model codifies the a new hypothesis that the animal's state, kinematics, and the group's emergent properties are dynamically linked together, with each one affecting the others. The model will be constructed using Object-Oriented MatLab.
A graphical MatLab framework for estimating the parameters of, modeling and simulating static and dynamic linear and polynomial systems in the errors-in-variables context with the intent of comparing various estimation strategies.