State estimation lies at the heart of modern control engineering, enabling practitioners to infer unmeasurable internal variables from limited sensor data. While linear observers suffice for systems ...

Output regulation in nonlinear control systems centres on designing controllers that ensure a system’s output tracks a desired reference signal or rejects persistent disturbances, despite inherent ...

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...

Keywords: Earthquake engineering; Shake table test; Nonlinear hysteretic system; Adaptive tracking control; Real-time parameter estimation; Extended Kalman filter. Abstract: The research presented ...

As a follow-on course to "Linear Kalman Filter Deep Dive", this course derives the steps of the extended Kalman filter and the sigma-point Kalman filter for estimating the state of nonlinear dynamic ...

Scientists run into a lot of tradeoffs trying to build and scale up brain-like systems that can perform machine learning. For instance, artificial neural networks are capable of learning complex ...