Abstract. For a class of process which had characteristics of nonlinear time-varying, dynamic characteristic varing significantly and can not be accurately modeled mechanism, this paper proposed a adaptive subspace predictive controller for stable operation. The method compared the prediction error to update prediction model online, and adjuste the length of the scroll window automatically according to the feedback error, which enhanced the adaptability for nonlinear time-varying characteristics, and strengthened its ability to inhibit unpredictable interference. Finally, simulated to verify the effectiveness of the method.

Power monitoring systems, with all the benefits they provide, are partial solutions in the modernization of industrial power systems. Massive data is collected and logged for the system historian to trend and display on command. This paper presents, by use of online/off-line simulation of real-time data and by supervisory control, an approach that allows the monitored data to be used to assist operators in predicting system response and behavior for automating system control and providing operator training. 4

Urban drainage system involves urban surface runoff, drainage pipeline system and rivers and its dynamic behavior is driven both by natural and artificial forces. There is a lack of appropriate and progressive hydraulic dynamic models for whole urban drainage system, together with much difficulty in collecting operation data, and backwardness of operation control techniques, thereby causing the frequent occurrence of urban flooding, sewage overflow and high energy-consumption of the pump stations. Therefore, it is hard to guarantee the security, reliability and high-efficiency of the operation of the urban drainage networks. To solve these problems, this paper proposed a large closed-loop control system model to achieve multi-objective and comprehensive operation optimization of urban drainage networks, based on the design of a new control model of a progressive system of city runoffs, drainage pipeline network and river tunnels.

Vertical Sieve-tray Tower (VST) and grinding system are the key equipment of cement production line. The production of VST and grinding system involves complex physical and chemical mechanisms, harsh operating environment, fuzzy changing boundary conditions. It shows a multi-field coupling integrated complex multiphase. Yield, quality, efficiency, safety, energy conservation, emission reduction and other operational indicators of the system is not only interrelated but also mutual restraint. The physical relationship between system operation and system control performance indicator is not clear, so it is difficult to adopt traditional control methods based on mechanism modeling and model-based analysis. In view of that, a design of process-optimization expert control system is proposed for VST and grinding system. The system model is designed according to energy consumption and operating experience. It has optimal control of the entire procession for equipment operation and achieves minimum energy consumption to meet the production requirements.