Direct Neural Network Controller for vibration reduction of a state-space model on MATLAB

I am looking for a freelancer to develop a Direct Neural Network Controller for a state-space model on MATLAB. The state-space model for the neural network controller will be provided by me. I am open to any type of neural network architecture, but Feedforward and Recurrent are preferable. The most important aspect, however, is that it should reduce the vibration of the state-space model better than other controllers.

1. Construct a direct neural network controller using MATLAB Simulink

2. Train the neural network on-line using different variable inputs such as force and voltage from the state space model

3. Combine the neural network with other elements or networks to optimize it (contribution)

4. Compare with other controllers and the neural network should perform better than other controllers such as already developed Fuzzy-PID and PID and NARMA-L2

5. The state-space model is already developed on MATLAB with the following matrices A=120x120, B=120x1, C=1x120, D=0

The project includes the development of the neural network controller and tuning it to reach the required accuracy, as well as its integration into the existing system. The freelancer will be required to provide a detailed report with the results of the simulation runs.

I am expecting high quality and timely delivery of the project. I am open to any suggestions to improve the performance of the proposed solution. I have all the necessary materials to get started and am ready to discuss any questions related to the project.