This repository contains the code for "Improving Closed-Loop Dynamic Performance By Assigning Nonlinear Behaviors: Taking Advantages of Concavity Based on Lyapunov Function Methods ".

Reminder: The simulations contain two case, a linear case and a nonlinear case.

%% linear case The main simulink file linear_simulation.slx contains the all simulation model for the linear case. One can use linear_optimal.m to calculate the optimal gain, and the optimization framework is implemented as presented in CLDBNA_OPTIMAL.m .

%% nonlinear case For the nonlinear case, the file NONLINEAR_CASE_simulation.slx contains everything in one file.

The simulation code in this repository was tested in the following environment:

Windows 11 22H2 Matlab 2022b