Performance-Based Adaptive Fuzzy Tracking Control for Networked Industrial Processes
针对双层网络化工业过程，在设备层设计自适应模糊控制器保证跟踪性能，在操作层设计自适应逆最优控制器优化整体性能，并通过连续搅拌反应釜仿真验证有效性。
In this paper, the performance-based control design problem for double-layer networked industrial processes is investigated. At the device layer, the prescribed performance functions are first given to describe the output tracking performance, and then by using backstepping technique, new adaptive fuzzy controllers are designed to guarantee the tracking performance under the effects of input dead-zone and the constraint of prescribed tracking performance functions. At operation layer, by considering the stochastic disturbance, actual index value, target index value, and index prediction simultaneously, an adaptive inverse optimal controller in discrete-time form is designed to optimize the overall performance and stabilize the overall nonlinear system. Finally, a simulation example of continuous stirred tank reactor system is presented to show the effectiveness of the proposed control method.