First Lyapunov-based result for simultaneous online system identification and trajectory tracking of nonlinear systems via composite adaptive DNN updates for all layers, yielding UUB guarantees and exponential convergence under PE.
Integral concurrent learning: Adaptive control with parameter convergence using finite excitation
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Simultaneous Online System Identification and Control using Composite Adaptive Lyapunov-Based Deep Neural Networks
First Lyapunov-based result for simultaneous online system identification and trajectory tracking of nonlinear systems via composite adaptive DNN updates for all layers, yielding UUB guarantees and exponential convergence under PE.