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Because transmission uncertainty is an unavoidable drawback of network communication, the real-time performance and stability of networked control systems (NCSs) can be degraded and hard to design or analyze. Theories and techniques of polynomial predictive filtering (PPF) based NCSs are investigated in this paper. A method that alleviates negative consequences resulting from transmission uncertainty by prediction is presented, and samples affected by network transmission are compensated within the expected error by using PPF. As a result, the methods of design and analysis which have already been established in centralized control systems can be applied to NCSs directly.