This repository includes different versions of the prescribed-time controller as Simulink blocks and MATLAB script codes for engineering applications.

Last update: Mar 11, 2022

Overview

Prescribed-time Control

Prescribed-time control (PTC) blocks in Simulink environment, MATLAB R2020b. For more theoretical details, refer to the papers mentioned in the References.

File(s)

This repository includes the following MATLAB-Simulink files:

1- A PTC for Euler-Lagrange robotic systems with $n$ degrees-of-freedom (version-2020-1): PTC_EL_PDgJLA_FracPol_20201.slx.

2- A PTC for normal form chain of integrators with triangular stability (version-2021-1): PTC_CI_L_Exp_20211.slx

References

1- Amir Shakouri, Nima Assadian, "Prescribed-time control for perturbed Euler-Lagrange systems with obstacle avoidance", IEEE Transactions on Automatic Control, 2021, doi: 10.1109/tac.2021.3106882.

2- Amir Shakouri, Nima Assadian, "Prescribed-time control with linear decay for nonlinear systems", IEEE Control Systems Letters, 2021, doi: 10.1109/lcsys.2021.3073346.

3- Amir Shakouri, Nima Assadian, "A framework for prescribed-time control design via time-scale transformation", IEEE Control Systems Letters, 2021, doi: 10.1109/lcsys.2021.3136757.

License(s)

MIT

This repository includes different versions of the prescribed-time controller as Simulink blocks and MATLAB script codes for engineering applications.

Related tags

Overview

Prescribed-time Control

File(s)

References

License(s)

Owner

Amir Shakouri

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This repository includes different versions of the prescribed-time controller as Simulink blocks and MATLAB script codes for engineering applications.

Related tags

Overview

Prescribed-time Control

File(s)

References

License(s)

Owner

Amir Shakouri

ScriptProfilerPy - Module to visualize where your python script is slow

TransReID: Transformer-based Object Re-Identification

Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

Code of paper Interact, Embed, and EnlargE (IEEE): Boosting Modality-specific Representations for Multi-Modal Person Re-identification.

Official implementation for "Low-light Image Enhancement via Breaking Down the Darkness"

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

Implementation of Kalman Filter in Python

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

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