ABSTRACT
It is of great significance to study model-free adaptive predictive control (MFAPC) for unknown nonlinear systems. MFAPC has the advantages of MPC and MFAC; that is, only the I/O data of the controlled plant are used to predict the system output sequence within the prediction horizon and to calculate the control input sequence within the control input horizon, without the controlled plant model involved.
