According to the requirement of information integration for the CNC equipments, remote monitoring and management system for CNC based on Rich Internet Application (RIA) is developed. The structure and key technology of the system are introduced in detail. Serial port servers are used to realize the network connection of the CNC equipments. Based on RIA structure, the system achieves remote transmission of NC programs, real-time monitoring and analyzing the running status of CNC equipments. With more convenient information processing and more accurate equipment condition mastering, the productivity can be improved effectively.

The filtering problem is studied for a class of discrete-time systems under the effect of the networks. The investigated issues involved by the network include the consecutive packet dropouts and the one-step transmission delays which can be described by a sequence of mutually independent Bernoulli distributed stochastic variables. A full-order filter is designed such that the filtering error system is exponentially stable in the mean square and the performance is also achieved. Sufficient conditions are developed for the addressed problem and the desired filter is derived by means of the feasibility of certain linear matrix inequality. Numerical example is given to illustrate the effectiveness of the proposed method.