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In this paper we consider the problem of driving to zero by means of state feedback the state of a nonlinear plant when only an approximate model of the plant is known and the information about its state is sampled. To this aim, we develop a specific model based control scheme and, under suitable hypotheses, we give a sufficient condition, in terms of length of the sampling interval and of other design...
Combining the backstepping approach with the pointwise integral mechanism, a novel adaptive repetitive learning control for high-order nonlinear systems with time-varying and time-invariant parameters is proposed. It can be applied to the time-varying parametric uncertainty systems with unknown compact set, non-vanishing, rapid time-varying, periodic and where the prior knowledge is the periodicity...
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