A model reference control system with superior intersample performance to conventional system

We have already shown that the model reference control input based on sampled data control theory can be given as a solution of certain discrete time optimal control problem and it consists of linear combination of sampled data on plant states, states of reference model and a reference signal when a reference signal is constant between sample points. In this paper, a new model reference sampled data control law is proposed when a reference signal is not constant between sample points. Also, the validity of the proposed controller is verified by simple numerical simulation.