PhD Thesis on: Identification for control for systems with static nonlinearity

Scientific background Most of modern engineering systems are (to some extent) nonlinear. To fully optimize the performance of control systems as required by modern industry, this nonlinear behavior can no longer be neglected. This raises a number of challenging issues for the identification (data-based modeling) and the control of those systems. This is fully recognized by the research theme ‘nonlinear performance’’ of the M1 priority at the Ampère lab. The proposed PhD project aims to develop a joint identification and control methodology to appropriately model and control a particular, but nevertheless important class of nonlinear systems: the systems with static nonlinearities.