Controller design for tracking paths in nonlinear biochemical processes

The control of fed-batch bioprocess is a current challenge. Mathematical models are highly rigid systems of nonlinear differential equations with strict physical limitations. In this paper a simple and efficient technique for tracking optimal profiles with minimal error is developed. It is based on linear algebra for the calculation of control actions, by solving a system of linear equations. The performance of the designed controller is tested through simulations (adding parametric uncertainty and perturbations in the initial conditions), which show very satisfactory results.