Adaptive Model Predictive Control Using Iterative Fuzzy Broad Learning System for Nonlinear Digital Time-Delay Dynamic Systems
Hung-Sheng Chen, Ching‐Chih Tsai, Feng‐Chun Tai · 2020
This paper presents a new learning control structure using fuzzy broad learning system (FBLS) for adaptive model predictive control (AMPC) of nonlinear digital time-delay dynamic systems. The proposed control method, abbreviated as FBLS-ANMPC, is novel in combining FBLS and model predictive control to develop a FBLS-ANMPC control law for high-performance setpoint tracking control and disturbance rejection. Comparative simulations are well used to demonstrate the effectiveness and merits of the proposed method in comparison with five existing methods. Experimental results on temperature control of a heating barrel in a plastic injection molding machine are conducted to show the practicability of the proposed method.