In the present work, an optimal control approach is suggested to design a robust controller for the heart system. The work objective is to generate artificial or synthetic optimal Electrocardiogram (ECG) signals using the nonlinear optimal robust control. This includes the design of a state feedback controller to stabilize the ECG under uncertainty. The approach key is to reflect the uncertainty bound in the cost function, and the solution to the optimal control problem is a solution to the robust control problem.
The robust optimal control strategy is applied for nonlinear heart system; different structures of uncertainties have been sought. Unfortunately, for the present case study only unmatched structure of uncertainty has been found in both state and input matrices.