A novel ADP based model-free predictive control

作者：Dong Na^*; Chen Zengqiang

来源：Nonlinear Dynamics, 2012, 69(1-2): 89-97.

DOI：10.1007/s11071-011-0248-3

• Model-free control
• SPSA
• ADP
• Neural network
• Predictive control
• Nonlinear tracking problem

Dynamic programming is a very useful tool in solving optimization and optimal control problems. Here, the Approximate Dynamic Programming (ADP) and the notion of neural networks based predictive control are combined with a model-free control method based on SPSA (Simultaneous perturbation stochastic approximation), and a novel ADP based model-free predictive control strategy for nonlinear systems is proposed. Dynamic programming is used to adjust the control parameters in the novel model-free control method and the notion of predictive control is introduced to modify the whole control structure. Finally, the proposed ADP based model-free predictive control strategy is applied to solve nonlinear tracking problems and the effectiveness of this novel control method is fully illustrated though simulation tests on two typical nonlinear systems.

• 出版日期2012-7
• 单位天津大学; 南开大学