Concurrent learning for convergence in adaptive control without persistency of excitation

By Girish V. Chowdhary, Eric N. Johnson. IEEE Conference on Decision and Control, 2010

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Model reference composite learning control without persistency of excitation (2016, methodology): “5 Simulation trajectories by the CLMRAC of [13] in Example 1”
Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems (2014, methodology): “A related idea called concurrent learningwas introduced in Chowdhary (2010) andChowdhary and Johnson (2010) for adaptive control of uncertain systems.”
Concurrent learning adaptive control of linear systems with exponentially convergent bounds (2013, result): “Finally, these results compliment our previous work in concurrent learning (see for example [12], [13], [14]), and extend concurrent learning to adaptive control to the case where the system dynamics can be represented by switching multivariable linear systems.”
Adaptive Dynamic Programming for Control: A Survey and Recent Advances (2021, background): “In [133], concurrent learning was used to describe the idea of adaptive control for uncertain systems.”