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ADAPTIVE PID-LIKE CONTROL USING BROAD LEARNING SYSTEM FOR NONLINEAR DYNAMIC SYSTEMS

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摘要


This paper presents a new learning control structure using broad learning system (BLS) for adaptive PID-like control of unknown digital nonlinear dynamic systems with time delays. The proposed control method, abbreviated as BLS-APIDLC, is novel in combining BLS and model predictive control to develop a new PID-like control law for high-performance set-point tracking control and disturbance rejection. Comparative simulations on two renowned nonlinear digital time-delay systems are well used to show the effectiveness and superiority of the proposed method by comparing to four existing methods.

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