Advanced Strategies for Optimal Control

Join Rajeev Voleti for a webinar exploring advanced strategies in optimal control engineering. This session delves into innovative approaches for solving complex control challenges using JuliaSimControl, ModelingToolkit-based libraries, and InfiniteOpt. Focused on advanced control techniques, the webinar highlights how to employ a collocation-based method to optimize control efforts in multi-system coordination scenarios. We will share insights into optimizing control trajectories, ensuring precision, and improving efficiency in real-world applications across industries where optimal control plays a crucial role.

Key topics covered:

• Challenges in Multi-Vehicle Rendezvous: An overview of the complexities in coordinating the docking of multiple vehicles, setting the stage for the proposed solution.
• Our two-stage approach for optimal coordination —initial optimal control generation followed by real-time trajectory refinement using a consensus protocol based on shared time-to-go estimates.
• Consensus Protocol and Trajectory Refinement: A deep dive into the adaptation process where ground vehicles align their time-to-go with the approaching quadrotor, ensuring optimal convergence.
• Simulation Demonstrations: Numerical simulations showcasing the method
• Practical Applications: Exploration of the solution’s potential in fields like autonomous transport, logistics, emergency response, and military operations.
  

This presentation will provide attendees with valuable insights into the latest advancements in autonomous systems, optimal control, and consensus protocols, offering a new perspective on the complexities and potentials in multi-vehicle coordination.