Applications of Approximate Sampled-Data Models in Estimation and Control
This chapter investigates the application of the approximate sampled-data models to problems arising in estimation and control, both for linear and nonlinear systems. Applications include state estimation and feedback control for linear systems, sampled-data state feedback control for nonlinear systems, continuous-time system identification from sampled data, and sampled-data predictive control of an electrical machine.
KeywordsNyquist Frequency Permanent Magnet Synchronous Motor Voltage Vector Zero Dynamic Sampling Zero
The examples in Sect. 10.5 appear in
The problem of predictive control of a two-mass system driven by a permanent magnet synchronous motor is described in more detail in
- Silva C, Yuz JI (2010) On sampled-data models for model predictive control. In: 36th annual conference of the IEEE industrial electronics society, IECON 2010, Phoenix, AZ, USA Google Scholar