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

Author

Listed:
  • Bin Zhang
  • Conghui Ma
  • Lutao Yan
  • Haiyuan Li
  • Jiqiang Xia

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, 2023. "Data‐Driven Optimal Tracking Control of Nonlinear Affine Systems Based on Differential Dynamic Programming," Mathematical Problems in Engineering, John Wiley & Sons, vol. 2023(1).
    • Handle: RePEc:wly:jnlmpe:v:2023:y:2023:i:1:n:2328862
    DOI: 10.1155/2023/2328862
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    References listed on IDEAS

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    1. Chunbin Qin & Ziyang Shang & Zhongwei Zhang & Dehua Zhang & Jishi Zhang, 2022. "Robust Tracking Control for Non-Zero-Sum Games of Continuous-Time Uncertain Nonlinear Systems," Mathematics, MDPI, vol. 10(11), pages 1-23, June.
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