Fast SDDRE-Based Maneuvering-Target Interception at Prespecified Orientation

Li Gang Lin, Ruei Syuan Wu, Ping Kong Huang, Ming Xin, Chin Tien Wu, Wen Wei Lin

Research output: Contribution to journalArticlepeer-review


This study considers the 3-D guidance law based on target lead angle information and the state-dependent differential Riccati equation (SDDRE) scheme. In an application-oriented manner, it presents theories to significantly improve critical computational performance and thus aims at a fast implementation for impact-angle-constrained interception of agile maneuvering targets. More specifically, regarding the two major computational burdens using SDDRE, we have replaced the burden in numerical applicability checking by a simple, equivalent, and closed-form condition for the entire state space, which is actually the dominant burden as supported by complexity analysis and extensive validations. Notably, the proposed analysis not only complements the early findings of applicability guarantee in literature, but also promotes the efficiency of the proposed philosophy when compared to the classic method, where the latter has caused concerns/reservations due to its feasibility and difficulty. On the other hand, we have largely mitigated the second major burden of SDDRE by - after exhaustive trials - selecting the most efficient Riccati-equation solver until the latest benchmarks. Such evaluations are: 1) in favor of a much-less-known achievement, rather than the common QR-based benchmark and 2) subject to both numerical and hardware experiments including, notably, implementations on microcontrollers and field-programmable gate arrays.

Original languageEnglish
Pages (from-to)2895-2902
Number of pages8
JournalIEEE Transactions on Control Systems Technology
Issue number6
StatePublished - 1 Nov 2023


  • Computational efficiency
  • impact angle constraint
  • maneuvering-target interception
  • spatial lead angle guidance
  • state-dependent differential Riccati equation (SDDRE)


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