For Networked Control System (NCS) with random network-induced delay and packet loss, an observer is designed to reconstruct the states using output values. A piece-wise time-delay strategy and the timestamp technique are used, improving the system performance. Depending on whether data dropout occurs or not, system is modeled as an Asynchronous Dynamical System (ADS), and theorem guaranteeing the system closed-loop stability is also given. Based on Lyapunov and Linear Matrix Inequality (LMI), controller gain and observer gain are solved and TrueTime toolbox is used to verify the effectiveness of the algorithm.

Access control system applied in laboratory center makes laboratory management more conveniently. The laboratory security can be guaranteed, even the efficiency of laboratory management and human resource arrangement are also improved. How to use the hardware and software resources of access control system sufficiently, and conduct intelligent management combined with experiment courses, which need deeper research and actual intelligent management. In the paper, take the Beijing Experimental Teaching Center-Experimental Teaching Center of Electrical and Intelligent Engineering on Building as example, the co-design of Access Control System and experiment courses arrangement is proposed according to the database technology, and the intelligent management process is analyzed and realized.

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Networked Control System (NCS) has been drawn much attention in control field, and the performance of integrating control with network is particularly considered. The co-design of control and network performances of NCSs simultaneously possesses the theoretical and practical significance. In the paper, the main four NCS factors, i.e., network-induced delay, scheduling, sampling period, and packet loss rate, are investigated from the perspective of theoretical analysis and simulation. The simulations, based on the Truetime toolbox, show the effect of each factor on the NCS performance, which could provide a critical research basis for the further research in the co-design of NCS control and scheduling.