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1. Function-Approximation-and-Adaptive-PID-Gain-Tuning-using-Neural-Networks-and-Reinforcement-Learning Function-Approximation-and-Adaptive-PID-Gain-Tuning-using-Neural-Networks-and-Reinforcement-Learning Public

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2. 6-Dof-Robot-Trajectory-Tracking-using-Adaptive-Nonlinear-Algorithms 6-Dof-Robot-Trajectory-Tracking-using-Adaptive-Nonlinear-Algorithms Public

   PID, LQR, Feedback Linearization, Backstepping, Sliding Mode, and Model Reference Adaptive Control for 6-DoF Robot Control

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3. Trajectory-Tracking-of-8DOF-Robot-via-Fuzzy-Sliding-Mode-Control-with-Fuzzy-Identification Trajectory-Tracking-of-8DOF-Robot-via-Fuzzy-Sliding-Mode-Control-with-Fuzzy-Identification Public

   Tiltrotor Control and System Identification using Fuzzy C-Means Clustering.

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4. PID-Tuning-using-Genetic-and-Particle-Swarm-Optimization PID-Tuning-using-Genetic-and-Particle-Swarm-Optimization Public

   Offline Tuning PID gains in a given system using Heuristic Methods, including Genetic Algorithm andParticle Swarm Optimization

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5. Self-Tuning-PID-Control-using-Reinforcement-Learning-Based-Neural-Network Self-Tuning-PID-Control-using-Reinforcement-Learning-Based-Neural-Network Public

   Novel adaptive tuning of the PID gains using an Actor-Critic-based Neural Network for Attitude Control of a 6-Dof, 4-motor Robot

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6. Video-Synopsis-Summarization-Car-Detection-Tracking Video-Synopsis-Summarization-Car-Detection-Tracking Public

   Detection, Counting, Tracking, and Summarization of the Vehicles using Computer Vision algorithms in a video camera recorded on a highway.

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