Sampled-data Adaptive-control of a Class of Continuous Nonlinear-systems

The problem is addressed of deriving sampled-data control laws for a class of nonlinear continuous systems. The concept of approximate state-feedback linearizing control is defined for sampled-data models arising from the sampling of continuous-time systems. Such control laws are then designed for both non-adaptive and adaptive cases and a detailed performance analysis is performed