论文信息 - Real-Time Design of an Adaptive Nonlinear Predictive Controller

Real-Time Design of an Adaptive Nonlinear Predictive Controller

Abstract Based on real-time identification and using the concept of NARX models a new Adaptive Nonlinear Predictive Controller (ANPC) design is proposed. From an initial batch of input-output. data, a parsimonious NARX model structure is obtained using an orthogonalization algorithm. The obtained structure is being stored in a pointer vector and is used in the real-time control application. The control is implemented using a model predictive centrol scheme which determines the future control moves by minimizing an objective function. The Improved performance is demonstrated on a real-time laboratory scale pH waste water neutralization process.

M. N. Karim | T. Pröll

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