Koopman Operator Based Time-Delay Embeddings and State History Augmented LQR for Periodic Hybrid Systems: Bouncing Pendulum and Bipedal Walking

Yang, Chun-Ming, Bhounsule, Pranav A.

arXiv.org Artificial Intelligence 

Time-delay embedding is a technique that uses snapshots of state history over time to build a linear state space model of a nonlinear smooth system. We demonstrate that periodic non-smooth or hybrid system can also be modeled as a linear state space system using this approach as long as its behavior is consistent in modes and timings. We extend time-delay embeddings to generate a linear model of two periodic hybrid systems--the bouncing pendulum and the simplest walker--with control inputs. This leads to a state history augmented linear quadratic regulator (LQR) which uses current and past state history for feedback control.