Leader-Follower based model predict formation control, with adaptive control to overcome slippage problem in each robots
Implementation of a recurrent neural network based Observer/Identifier for highly Non-Linear Dynamical Systems, using the Lorenz Attractor as a test case.
A complete simulation framework for the KUKA youBot mobile manipulator, featuring an omnidirectional mecanum base, 5-DOF arm, observer-based state feedback control, and multi-environment integration using ROS Noetic, MATLAB, and CoppeliaSim.
Modeling and control of a DC motor using state feedback, integral control, and observer-based output feedback.
This Repository contains basic backend low level design of BookMyShow which is created using datastructures and design patterns.Assumptions: No db is used(in-memory i.e. using datastructures)
Various Problems in Digital Control Systems
A complete simulation framework for the KUKA youBot mobile manipulator, featuring an omnidirectional mecanum base, 5-DOF arm, observer-based state feedback control, and multi-environment integration using ROS Noetic, MATLAB, and CoppeliaSim.
My project(s) related to the controls engineering course (ME5659)
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