The problem of state feedback stabilization of nonlinear sampled-data systems is considered under the "low measurement rate" constraint. A dual-rate control scheme is proposed that utilizes a numerical integration scheme to approximately predict the current state. Given an approximate discrete-time model of a sampled nonlinear plant and given a family of controllers that stabilizes the plant model in input-to-state sense, we show that under some standard assumptions the closed loop dual-rate sampled data system is input-to-state stable in the semiglobal practical sense.
- Input-to-state stability
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering