L1 Adaptive Control Theory - Guaranteed Robustness with Fast Adaptation

By Naira Hovakimyan, C. Cao. Advances in design and control, 2010

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A Review of Safe Reinforcement Learning: Methods, Theory and Applications (2022, background): “control [17, 132, 139, 183, 204, 231, 258], adaptive control [89, 115, 199, 238], robust control [26, 73, 112, 282], lyapunov function [56, 57] for RL stability and safety.”
Robust adaptive droop control for DC microgrids (2017, methodology): “ a microgrid show that the adaptive method precisely uted resources and maintains the nominal bus voltage. Last, the comparative d over the conventional method. 2 rate and improved transient response [37]. Nevertheless, the assumption of initial state errors, which are assumed to be zero, are always”
Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019, background): “Adaptive controllers are also able to cope with unknown dynamics, time-varying parameters, and unknown disturbances [481], which have been used in trajectory tracking widely [462], [482]– [484].”