Non-identification Adaptive Output Feedback Control for Nonlinear Systems with Unknown Sensor Sensitivity

In this paper, global adaptive state regulation problem is addressed for a class of nonlinear systems with large unknown measurement sensitivity. Based on a pair of coupled matrix inequalities with an unknown time-varying parameter, a new double-gain (the mix of static and dynamic gains) output feedback controller is presented by combining with an improved dynamic scaling technique. In particular, the control approach proposed uses a non-identification adaptive mechanism and is applicable to a class of nonlinear parametric systems with an unknown constant growth rate. Moreover, our method is non-backstepping and all design parameters are obtained easily.