An adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. Another key feature of this structure is the fact that, it does not need model of the system. In this scheme, neurolinearizer has few weights, so it is practical in adaptive situations.  Online training of neuroline...

We consider the linear matrix inequality (LMI) problem of H∞ output feedback control for a generalized plant whose input, measured output, disturbance and controlled are scalar. provide an explicit form optimal value. This is unification some results in literature performance limitation analysis. To obtain value, we focus on non-uniqueness perpendicular matrices, which appear LMI problem. use n...