Adaptive predictive functional control of a class of nonlinear systems

作者：Zhang, B^*; Zhang, WD

来源：ISA Transactions, 2006, 45(2): 175-183.

DOI：10.1016/S0019-0578(07)60188-8

• predictive functional control
• nonlinear system
• aggregation
• dynamic linearization
• base functions

This paper describes the use of pseudo-partial derivative (PPD) to dynamically linearize a nonlinear system, and aggregation is applied to the predicted PPD, resulting in a model-free adaptive predictive control algorithm for a nonlinear system. The algorithm design is only based on the PPD derived online from the input/output data of the controlled process, however it does provide bounded input/output sequence and setpoint tracking without steady-state error. A detailed discussion on parameter selection is also provided. To show the capability of the algorithm, simulations of a time-delay plant and a pH neutralization process show that the proposed method is effective for system parameter perturbation and external disturbance rejection.

• 出版日期2006-4
• 单位上海交通大学