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Data-Driven Optimal Tracking Control of Nonlinear Affine Systems Based on Differential Dynamic Programming

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  • Bin Zhang
  • Conghui Ma
  • Lutao Yan
  • Haiyuan Li
  • Jiqiang Xia
  • Yunfeng Hu

Abstract

In this paper, a data-driven differential dynamic programming (DDP) algorithm is presented for the optimal tracking problems of nonlinear affine systems with unknown drift dynamics. Optimal tracking dynamics are established between the system states and expected trajectory. By using the DDP method and test data, a second-order data-driven framework of the Hamilton–Jacobi–Bellman (HJB) equation is constructed, in which system approximation and value function approximation are used. By using this framework, a data-driven iteration algorithm is proposed to achieve the optimal tracking controller. A simulation example is provided to verify the effectiveness of the proposed approach.

Suggested Citation

  • Bin Zhang & Conghui Ma & Lutao Yan & Haiyuan Li & Jiqiang Xia & Yunfeng Hu, 2023. "Data-Driven Optimal Tracking Control of Nonlinear Affine Systems Based on Differential Dynamic Programming," Mathematical Problems in Engineering, Hindawi, vol. 2023, pages 1-14, April.
    • Handle: RePEc:hin:jnlmpe:2328862
    DOI: 10.1155/2023/2328862
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