Topic: "mimo-systems"
ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
Size: 1.63 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 2,019 - Forks: 659
kiankhaneghahi/Flexible-Joint-Manipulator-Observer-In-The-Form-Of-A-Stable-Neural-Network
In this project, an observer in the form of a stable neural network is proposed for any nonlinear MIMO system. As a result of experience, this observer utilizes a nonlinear in parameter neural network (NLPNN) which unlike LPNN, supports systems with higher degree of nonlinearity with no pre-knowledge of its dynamics. The learning rule for this neural network is based on the back-propagation method with a small modification. In addition, in order to guarantee the robustness of the observer, an e-modification term is added. Also, it is noted that there are no hard constraints like SPR on this method. Subsequently, the stability of this neural network observer is guaranteed by Lyapunov's direct method. At the end, the simulation results for a flexible-joint manipulator with this observer is demonstrated.
Language: MATLAB - Size: 13 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 2
kputtann/gms
A Generalized H-infinity Mixed Sensitivity Convex Approach to Multivariable Control Design Subject to Simultaneous Output and Input Loop-Breaking Specifications
Language: Matlab - Size: 38.1 KB - Last synced at: 5 months ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 4
BanaanKiamanesh/NN-Obs-Id-MIMO-Nonlinear-Systems
Implementation of a recurrent neural network based Observer/Identifier for highly Non-Linear Dynamical Systems, using the Lorenz Attractor as a test case.
Language: MATLAB - Size: 334 KB - Last synced at: 20 days ago - Pushed at: 9 months ago - Stars: 4 - Forks: 0
aaronmqs/MPC
This repository contains some of the codes developed during the course on Model Predictive Control (MPC) (2022.1) - Master's Program in Electrical Engineering - Federal University of Ceara.
Language: MATLAB - Size: 461 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
levyohad/Power-Aware-Deep-Unfolding-for-Beamforming
Source code for the results and simulations described in the paper "Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming".
Language: Jupyter Notebook - Size: 34.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 1
salemon/MIMO_PID_LMI
MIMO PID tuning via iterated LMI restriction
Language: Python - Size: 44.9 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
