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Working from home
- Ph.D. in Control Theory and Engineering.
Popular repositories Loading
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Model-Predictive-Control-Implementation-in-Python-1
Model-Predictive-Control-Implementation-in-Python-1 PublicHere, we post the codes that implement the Model Predictive Controller (MPC) for linear systems.
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Model-Predictive-Control-for-Linear-Systems-in-Cpp-by-Using-Eigen-Library
Model-Predictive-Control-for-Linear-Systems-in-Cpp-by-Using-Eigen-Library PublicThis repository contains C++ files that explain how to implement the Model Predictive Control (MPC) algorithm for linear systems in C++ by using the Eigen C++ matrix library.
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Subspace-Identification-State-Space-System-Identification-of-Dynamical-Systems-and-Time-Series-
Subspace-Identification-State-Space-System-Identification-of-Dynamical-Systems-and-Time-Series- Public -
Machine-Learning-of-Dynamical-Systems-using-Recurrent-Neural-Networks
Machine-Learning-of-Dynamical-Systems-using-Recurrent-Neural-Networks PublicThis project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Keras machine learning toolbox.
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Kalman-Filter-Implementation-in-Cpp-Using-Eigen-Library
Kalman-Filter-Implementation-in-Cpp-Using-Eigen-Library Public -
Linear-Quadratic-Regulator-Optimal-Control-in-Cpp-From-Scratch-by-Using-Newton-Method
Linear-Quadratic-Regulator-Optimal-Control-in-Cpp-From-Scratch-by-Using-Newton-Method PublicWe implemented a solution of the Linear Quadratic Regulator (LQR) Optimal Control problem in C++. We use the Newton method to solve the Riccati equation and to compute the solution.
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