Multi-object optimization performance of networked control systems

The multi-object optimization performance of single-input-single-output (SISO) networked control system (NCS) is proposed in this paper. The tracking performance is measured by the power of the error response between the output of the plant and the reference signal with considering control power and communication power restricted. The multi-object optimization performance is obtained by applying the spectral factorization technique. It is shown that the tracking performance is constrained by nonminimum phase zeros, unstable poles of a given plant and the power spectral density of an additive white Gaussian noise of communication channel. The result obtained in this work explicitly show how is the optimal tracking performance limited by the additive white Gaussian noise of communication channel.