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Found 6 papers, 3 papers with code
Risk-Bounded Temporal Logic Control of Continuous-Time Stochastic Systems
Our control approach relies on reformulating these risk predicates as deterministic predicates over mean and covariance states of the system.
Policy Iteration for Multiplicative Noise Output Feedback Control
We propose a policy iteration algorithm for solving the multiplicative noise linear quadratic output feedback design problem.
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
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part II: Case studies
Here, we present extensive numerical experiments in both distribution and transmission networks to illustrate the effectiveness and flexibility of the proposed methodology for balancing efficiency, constraint violation risk, and out-of-sample performance.
Optimization and Control Systems and Control
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies
We propose a data-based method to solve a multi-stage stochastic optimal power flow (OPF) problem based on limited information about forecast error distributions.
Optimization and Control Systems and Control
