Observer Based Controller

Observer-based controllers integrate state estimation with control design to manage systems where complete state information isn't directly available, aiming for robust and efficient performance. Current research emphasizes applications in robotics and aerospace, focusing on algorithms like extended Kalman filters and recurrent neural networks within structured controller architectures to improve computational efficiency and training speed. This approach is particularly valuable for systems operating in GPS-denied environments or with limited sensor data, enhancing safety and autonomy in various applications.