Rihan Aaron D'silva’s scientific contributions

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Publications (2)

Figure 8. Wavelet coefficients for a set of scales of order 10 −3 (top left), mesh history during refinement (top right), cost variation on each refinement iteration (bottom left), and state trajectories after refinement(bottom right) for Example 5.3.
Figure 9. Control trajectories obtained using QuITO v.2, ICLOCS2's collocation and IRM, ACADO, and baseline-QuITO for Example 5.3.
Figure 10. DFT plot of the control error trajectories in log scale for Example 5.3.
Figure 10. Control trajectories obtained using QuITO v.2, ICLOCS2's collocation and IRM, and baseline-QuITO for Example 5.2.
QuITO v.2: Trajectory Optimization with Uniform Error Guarantees under Path Constraints
  • Preprint
  • File available

May 2024

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79 Reads

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Rihan Aaron D'silva

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Debasish Chatterjee
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Citations (1)

... For the above set of parameters, we obtain µ ⋆ S(stat) = µ max S = 0.548, and determine the corresponding SNE following Theorem 1. We then solve the optimal control problem (12) via the numerical solver Quasi-Interpolation based Trajectory Optimization (QuITO) [27] which uses a direct multiple shooting (DMS) technique. ...

Reference:

Optimal Bayesian Persuasion for Containing SIS Epidemics
QuITO: Numerical software for constrained nonlinear optimal control problems

SoftwareX

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Nakul Randad

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Rihan Aaron D’Silva

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[...]

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Debasish Chatterjee