4 papers · 1 filter
Lyapunov-based Adaptive Transformer (LyAT) for Control of Stochastic Nonlinear Systems
Saiedeh Akbari, Xuehui Shen, Wenqian Xue +2
This paper presents a novel Lyapunov-based Adaptive Transformer (LyAT) controller for stochastic nonlinear systems. While transformers have shown promise in various control applica…
LyLA-Therm: Lyapunov-based Langevin Adaptive Thermodynamic Neural Network Controller
Saiedeh Akbari, Omkar Sudhir Patil, Warren E. Dixon
Thermodynamic principles can be employed to design parameter update laws that address challenges such as the exploration vs. exploitation dilemma. In this paper, inspired by the La…
Lyapunov-Based Deep Neural Networks for Adaptive Control of Stochastic Nonlinear Systems
Saiedeh Akbari, Cristian F. Nino, Omkar Sudhir Patil +1
Controlling nonlinear stochastic dynamical systems involves substantial challenges when the dynamics contain unknown and unstructured nonlinear state-dependent terms. For such comp…
Lyapunov-Based Dropout Deep Neural Network (Lb-DDNN) Controller
Saiedeh Akbari, Emily J. Griffis, Omkar Sudhir Patil +1
Deep neural network (DNN)-based adaptive controllers can be used to compensate for unstructured uncertainties in nonlinear dynamic systems. However, DNNs are also very susceptible…