Adaptive fuzzy command filtered discrete control for cascade continuous stirred tank reactors with input constraint

A novel fuzzy adaptive command-filtered discrete controller is designed for cascaded continuous stirred tank reactors (CCSTRs) with input constraints. The mathematical model of CCSTRs system is discretized using the Euler method. The fuzzy logic system is used to approximate the complex nonlinear function in the CCSTRs system. The problems of “complexity of computation” and noncausal problems that result from the traditional backstepping method are avoided based on the command-filtered technique. Compared with the existing control methods for CCSTRs, the control strategy has better stability and realizability, the controller structure is simpler, and the on-line computation burden and the maximum value of control input are all strongly reduced.