Event‐based model‐free adaptive control for discrete‐time non‐linear processes

In this study, a novel event‐based model‐free adaptive control (MFAC) algorithm for discrete‐time non‐linear systems is presented. Different from the traditional MFAC scheme which calculates the control signal at fixed sampling instants, an event‐based sampling scheme is given to calculate the new control signal only when the input/output (I/O) data sufficiently changes. The event‐triggered MFAC can obviously reduce the computational load and network communication. The closed‐loop system is proven to be ultimately bounded by using the Lyapunov technique. Finally, the simulation examples indicate the effectiveness and applicability of the proposed event‐trigger model‐free adaptive control algorithm.