ABSTRACT
This conclusion presents some closing thoughts on the concepts covered in the preceding chapters of this book. The book proposes a novel discrete-time inverse optimal control scheme, which achieves stabilization and trajectory tracking for nonlinear systems and is inverse optimal in the sense that, a posteriori, it minimizes a cost functional. It describes a CLF candidate for the obtained control law such that stabilization and trajectory tracking for discrete-time nonlinear systems are achieved; a posteriori, a cost functional is minimized. The book establishes a neural inverse optimal discrete-time control scheme for uncertain nonlinear systems. It develops a methodology to deal with glycemic control of T1DM patients. The book also describes the proposed control law that calculates the adequate insulin delivery rate in order to prevent hyperglycemia and hypoglycemia levels in T1DM patients. Finally, the inverse optimal control scheme is applied for the neural identifier model to achieve tracking along a desired reference: the glucose absorption of a healthy person.
