Parameter estimation for NCSs based on interpolation

In this issue, a new parameter estimation method based on spline interpolation for Networked Control Systems is discussed. The method is as following: firstly, the input signals are added timestamp, meaning that the input signals are sorted, so that the data should be lost on a certain time. And, the missing message is supplemented adaptively using spline interpolating, which means the data is supplemented adaptively using linear spline interpolating when one output signal is lost, using the cubic interpolating when two or more output signals are lost. Then, the parameter is precisely estimated by particle swarm optimization in the interpolated incomplete information systems. Finally, the precision and effectiveness of the parameter estimation in different missing rates is verified by the method of MATLAB simulation.