[7] G. Rigatos and E. Karapanou,
Advances in Applied Nonlinear Optimal Control, Cambrigde Scholars Publishers (monograph). download
Ref No 6065 Advances in Applied Nonlinear Optimal Control,
Duration: 2018-2020 The aim of the project is to present advances in applied nonlinear
optimal control through both theoretical analysis of the developed control methods and
case studies about their use in robotics, mechatronics, electric power generation, power
electronics, micro-electronics, biological systems, biomedical systems, financial systems
and industrial production processes. The advantages of the nonlinear optimal control approaches
which are developed in the monograph are outlined as follows: (i) by applying approximate
linearization of the controlled systems state-space description one can avoid the elaborated
state variables transformations (diffeomorphisms) which are required by global linearization-based
control methods, (ii) the control input is applied directly on the power unit of the controlled
systems and not on an equivalent linearized description of theirs. Thus, one can avoid the
inverse transformations met in global linearization-based control methods and the potential
appearance of singularity problems, (iii) the considered methods retain the advantages of
optimal control, that is best trade-off between accurate tracking of reference setpoints
and moderate variations of the control inputs. The project’s findings on nonlinear optimal
control, can be a substantial contribution to the areas of nonlinear control and complex
dynamical systems and can find use in several research and engineering disciplines and
in practical applications
