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.
This repository documents my mobile manipulator simulation work, starting as a semester study project and evolving into my own senior-level system design and implementation.
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)
Modern control design for a nonlinear quadrotor system, including state feedback, LQR, full- and reduced-order observers, Kalman filtering, and digital implementation.
MATLAB codes for state observer design: Luenberger, Kalman, H-infinity, multi-rate, and outlier-robust methods
Various Problems in Digital Control Systems
Benchmark comparison of ANO, EKF, and HGO for nonlinear state estimation
State-space modelling, controllability & observability analysis, EESA and GCCF state feedback design, and Luenberger observer synthesis for a 2-DOF inverted pendulum, implemented in MATLAB and Simulink.
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.
Python-first control systems toolkit for reproducible CLI workflows, plots, JSON outputs, and textbook-aligned analysis/design tools across classical and modern control.
ABS controller design with Luenberger observer, pole placement
Modeling, state-space analysis, observer design, and multi-scenario simulation of a LINAK LA 20 linear actuator with a PMDC motor in MATLAB/Simulink. Implements a Luenberger observer via Ackermann's formula, proportional current control, thermal stator dynamics, and batch export of simulation results to Excel.
MATLAB/Simulink project for trajectory tracking, state feedback control, integral control, and observer-based localization of a differential-drive mobile robot.
Digital Control is a Python-based engineering toolkit for studying, simulating, and designing discrete-time control systems through reproducible CLI workflows, structured inputs, and file-based outputs.
MATLAB/Simulink inverted-pendulum control learning lab with PID, LQR, pole placement, observers, LQG, and demo animations.
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