Orangehhhh

DCDC_BuckBoostConverter

Fault-Detection-in-DC-microgrids

Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learning techniques were then applied for fault detection.

EnergyManagementSystem

Full version of energy management system for hybrid AC/DC microgrid power parks

EMS_DCMG

Energy Management System Battery or Grid Regulating the DC bus of the microgrid

network-control-smartgrid

In this repository, A smart-grid is working in islanded mode and 2 DG units supply the AC unknown dynamic load. DG units consist of PV panels and ESSs , and sliding mode controllers are considered to regulate load voltage and guarantee accurate power sharing among DGs. SimpowerSystems and True-time2.0 toolboxes have been used in Simulink/MATLAB.

Matlab_FaultDetection_microGrid

DC_MicroGrid

DC-Microgrid-Model

DC-Microgrid-Design

QSR-Hinf

Code repository for Dissipativity-Augmented H-infinity Control

attack_detection_DCmG_simulations

Simulation files for the TAC 2020 paper "A Distributed Cyber-Attack Detection Scheme With Application to DC Microgrids"

power-up-or-power-out

This is my machine learning project wherein I predict the power system stability of the microgrid with decentralized control. The dataset is from the UCI Machine Learning Repository.

sdsc

Sequential design of structured controllers

chordal-spectral-coarsening

MATLAB implementation of "Chordal Decomposition for Spectral Coarsening", SIGGRAPH Asia 2020

nonlinear_control

Matlab code associated with EECS PhD dissertation. "Real-time optimal control of large scale power systems with application to improving transient stability response".

shooting-method

Numerical computation of nonlinear large-scale systems by Shooting Method

Cooperative-Lane-Changes-of-CAVs

Codes for "Balancing Computation Speed and Quality: A Decentralized Motion Planning Method for Cooperative Lane Changes of Connected and Automated Vehicles"

The-Learning-Documentation-Project

This documentation is archived. Updates are only available in https://gitlab.com/gorlapraveen/TheLearningDocumentationProject

plug-and-play-ISTA

Matlab code for PnP-ISTA, IEEE SPL 2020.

MLPnP_matlab_toolbox

The toolbox is a collection of PnP methods for Matlab. It can be used to benchmark algorithms.

Aut16

A. Selivanov and E. Fridman, "Observer-based input-to-state stabilization of networked control systems with large uncertain delays," Automatica, vol. 74, pp. 63–70, 2016.

demo_SPMKC

Accepted by IEEE Transactions on Neural Networks and Learning Systems

NN_MPC

Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication topology.

ANN-DSE

Artificial Neural Network based Power System Dynamic State Estimation

AfDaq

A plug and play MATLAB based tool for biofeedback and arduino based instruments.

QMRI-PnP-Recon-POC

Plug-and-Play Magnetic Resonance Fingerprinting based Quantitative MRI Reconstruction using Deep Denoisers (Proof of Concept) (IEEE ISBI 2022)

PnP-SCI

Plug-and-play Algorithms for Large-scale Snapshot Compressive Imaging (CVPR 2020, Oral)

Plug-and-Play-Attacks

[ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be Careful What You Smooth For".

QR-decomposition

Gram-Schmidt, Givens and Householder

Paper-code-implementation

Thesis retrieval