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Found 8 papers, 5 papers with code
Distributed Adaptive Control for Uncertain Networks
Control of network systems with uncertain local dynamics has remained an open problem for a long time.
Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control
Furthermore, we quantify the regret by comparing the performance when the distributions of the stochastic uncertainties are known and unknown.
An Online Learning Analysis of Minimax Adaptive Control
We present an online learning analysis of minimax adaptive control for the case where the uncertainty includes a finite set of linear dynamical systems.
Distributed Implementation of Minimax Adaptive Controller For Finite Set of Linear Systems
This paper deals with a distributed implementation of minimax adaptive control algorithm for networked dynamical systems modeled by a finite set of linear models.
History Data Driven Distributed Consensus in Networks
The association of weights in a distributed consensus protocol quantify the trust that an agent has on its neighbors in a network.
Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control
Robust autonomy stacks require tight integration of perception, motion planning, and control layers, but these layers often inadequately incorporate inherent perception and prediction uncertainties, either ignoring them altogether or making questionable assumptions of Gaussianity.
Anomaly Detection Under Multiplicative Noise Model Uncertainty
State estimators are crucial components of anomaly detectors that are used to monitor cyber-physical systems.
Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty
We propose a two-phase risk-averse architecture for controlling stochastic nonlinear robotic systems.
Robotics
