Memory-Efficient Filter-Based Approximate Optimal Regulation of Unknown LTI Systems Using Initial Excitation

@article{Jha2018MemoryEfficientFA,
  title={Memory-Efficient Filter-Based Approximate Optimal Regulation of Unknown LTI Systems Using Initial Excitation},
  author={Sumit Kumar Jha and Sayan Basu Roy and Shubhendu Bhasin},
  journal={2018 IEEE Conference on Decision and Control (CDC)},
  year={2018},
  pages={1638-1643}
}
This paper proposes a memory-efficient approx-imate/adaptive optimal control (AOC) design of completely unknown continuous-time (CT) linear time invariant (LTI) systems, without requiring the restrictive persistence of excitation (PE) condition for parameter convergence. The AOC algorithm utilizes two layers of filtering - the first layer filters strategically eliminate the need for state derivative information, while the second layer filters provide suitable algebraic relations for iteratively… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 35 REFERENCES

Online actor critic algorithm to solve the continuous-time infinite horizon optimal control problem

  • 2009 International Joint Conference on Neural Networks
  • 2009
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Optimal control, 2nd ed

F. Lewis, V. Syrmos
  • 1995
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL