title: Adaptive predictive functional control of a class of nonlinear systems.
abstract: 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.
authors.affiliation: Department of Automation, Shanghai Jiaotong University, Shanghai 200030, China. zhangbin7701@sjtu.edu.cn
authors.forename: Bin
authors.initials: B
authors.lastname: Zhang
authors.forename: Weidong
authors.initials: W
authors.lastname: Zhang