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Patents:
Granted:
Method and trajectory management controller for constrained trajectory optimization
Patent no. 430622, application no. 202221040362, The Patent Office Journal No. 18/2023, Dated 05/05/2023.
System and method of automatically generating optimal control trajectory for driving a multi-agent auv system.
with Rihan Aaron D'Silva, and Debasish Chatterjee, Patent no. 572126, Application no. 2024210060700, 2025, The Patent Office Journal No. 22/2025.
Filed:
Method and system for autonomously controlling shaft-speed of gas turbine engines using nonlinear explicit model predictive control.
with Viavhab Upadhyay, and Debasish Chatterjee, Application no. 202421064140.
Software packages:
QuITO v.1: a MATLAB-based numerical package for solving direct trajectory optimization and constrained nonlinear optimal control problems.
written jointly with Nakul Rajesh Randad, Rihan Aaron D'Silva and Mukesh S Raj.
Can be downloaded from here: https://github.com/Gdarthsid/QuITO-Version-1.git
QuITO is based on the algorithm developed in article attached to right:
Journal version: QuITO: Numerical software for constrained nonlinear optimal control problems
Constrained_trajectory_synthesis_via_quasi-interpolation.pdfQuITO v.2: QuITO v.1 with automatic change point detection and mesh refinement modules.
written jointly with Rihan Aaron D'Silva.
Can be downloaded from here: https://github.com/chatterjee-d/QuITOv2.git
Related article (submitted to IEEE Transactions on Automatic Control): QuITO v.2: Numerical solutions with Uniform Error Guarantees to Optimal Control Problems under Path Constraints
The arXiv version of the above article.
QuIFS: a MATLAB-based numerical package for explicit nonlinear model-predictive control (MPC) problems.
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