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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.
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.
System and method of automatically generating optimal control trajectory for driving a multi-agent auv system.
with Rihan Aaron D'Silva, and Debasish Chatterjee, Application no. 2024210060700.
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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