Time-stamped multivariable generalized predictive control and fuzzy rectified control of network control systems

The key point of the network control systems is that conventional generalized predictive control algorithm cannot deal with random delays, packet losses and vacant sampling. In this paper, the time-stamped multivariable generalized predictive control (TSMGPC) was proposed to deal with this problem. The TSMGPC used time-stamped to calculate the real delay, and the LMS algorithm to estimate the induced delay. In order to reduce the transmission times between the controller and the actuator, a threshold that was set in advance would be used to decide whether the control information were sent to the actuator or not, fuzzy rectification was also adapted to correct the system errors. The simulation results show that the TSMGPC with fuzzy rectified function can trace the desired output precisely.