Dynamic adaptive learning for precise control of strict-feedback nonlinear systems. Harnessing TensorFlow, it seamlessly incorporates reinforcement learning techniques, such as actor-critic, ensuring efficient and resilient adaptation of the control system.
Part of my master's project, my codes and results. See my papers in the reference section for full details. Click on the next link to see one of my papers:
Imitated Messaging System - A project demonstrating the Observer design pattern in action, simulating a messaging system that sends notifications via multiple channels (Email, Push, SMS) upon order status changes. Designed to showcase a flexible and extensible architecture for event-driven notification systems
Simulations of some simple systems demonstrating control systems basics using Simulink
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