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whisperingkahuna's Projects

aind2-cnn icon aind2-cnn

AIND Term 2 -- Lesson on Convolutional Neural Networks

arduino_constrained_mpc_library icon arduino_constrained_mpc_library

A compact Constrained Model Predictive Control (MPC) library with Active Set based Quadratic Programming (QP) solver for Teensy4/Arduino system (or any real time embedded system in general)

casadi icon casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

cessna-control icon cessna-control

A Matlab and Simulink project. The purpose is to control the altitude of a Cessna Citation 500 aircraft.

dynamic-programming icon dynamic-programming

Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncated Policy Iteration, Value Iteration . From Udacity's Deep Reinforcement Learning Nanodegree program.

fastmpc icon fastmpc

A model predictive control framework using linearized FAST turbine models. The repository includes the files necessary to test the controller inside SOWFAs SSC interface using zeroMQ.

ft-lpvmpc icon ft-lpvmpc

Linear Parameter Varying Fault-Tolerant Model Predictive Control

gms icon gms

A Generalized H-infinity Mixed Sensitivity Convex Approach to Multivariable Control Design Subject to Simultaneous Output and Input Loop-Breaking Specifications

gym-turbine icon gym-turbine

A repository for TTK4900 Master thesis at NTNU. Project is stabilizing floating wind turbines using Deep Reinforcement Learning

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

intro-to-self-driving-cars-nanodegree icon intro-to-self-driving-cars-nanodegree

I completed the Intro To Self Driving Cars Nanodegree by Udacity on May 16th, 2020. I had the opportunity to sharpen my python skills, apply C++, implement matrices and calculus in code, and touch on computer vision and machine learning all in the context of solving self-driving car problems.

linearmpc icon linearmpc

Linear model predictive control library in MATLAB

lpv-demo icon lpv-demo

A demo for designing and implementing a linear parameter-varying (LPV) controller

lpvmpc icon lpvmpc

Linear Parameter Varying Model Predictive Control

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