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AETHC for 2D MJSs subject to networked random packet losses

This repository contains the code implementation of our CNSNS_2023 paper here.

If you find this repository useful, please cite our paper.

  @article{ma2023asynchronous,
  title={Asynchronous event-triggered $\mathcal{H}_{\infty}$ control for {2D} {M}arkov jump systems subject to networked random packet losses},
  author={Ma, Xiaofeng and Dong, Jingjing and Tai, Weipeng and Zhou, Jianping and Paszke, Wojciech},
  journal={Communications in Nonlinear Science and Numerical Simulation},
  volume={126},
  pages={107453},
  year={2023},
  publisher={Elsevier}}

Explanation:

We use MATLAB as the programming language and employ the Mosek solver along with the YALMIP toolbox as development tools to perform numerical solution and simulation for the proposed AETHC method.

Mosek Solver:

Mosek is a high-performance mathematical optimization solver specifically designed for convex optimization problems. For official documentation, please refer to this link.

YALMIP Toolbox:

YALMIP (Yet Another LMI Parser) is an optimization modeling toolbox for MATLAB that facilitates the formulation and solution of various optimization problems. Developed by Johan Löfberg, YALMIP is primarily used for convex optimization but can also handle certain non-convex problems.

It is important to note that YALMIP itself is not a solver; rather, it serves as a modeling interface that translates user-defined optimization problems into a standard form and then calls external solvers such as Mosek, Gurobi, SDPT3, SeDuMi, and others for solution. For official documentation, please refer to this link.