21 citations · 24 across the 12 of their papers we have counts for
10 papers · 1 filter
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise
Benjamin Gravell, Iman Shames, Tyler Summers
We propose a robust data-driven output feedback control algorithm that explicitly incorporates inherent finite-sample model estimate uncertainties into the control design. The algo…
Risk-Bounded Temporal Logic Control of Continuous-Time Stochastic Systems
Sleiman Safaoui, Lars Lindemann, Iman Shames +1
Motivated by the recent interest in risk-aware control, we study a continuous-time control synthesis problem to bound the risk that a stochastic linear system violates a given spec…
Policy Iteration for Multiplicative Noise Output Feedback Control
Benjamin Gravell, Matilde Gargiani, John Lygeros +1
We propose a policy iteration algorithm for solving the multiplicative noise linear quadratic output feedback design problem. The algorithm solves a set of coupled Riccati equation…
Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control
Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari +3
Robust autonomy stacks require tight integration of perception, motion planning, and control layers, but these layers often inadequately incorporate inherent perception and predict…
Revisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics
Ahmad F. Taha, Shen Wang, Yi Guo +4
Real-time water quality (WQ) sensors in water distribution networks (WDN) have the potential to enable network-wide observability of water quality indicators, contamination event d…
Control Design for Risk-Based Signal Temporal Logic Specifications
Sleiman Safaoui, Lars Lindemann, Dimos V Dimarogonas +2
We present a general framework for risk semantics on Signal Temporal Logic (STL) specifications for stochastic dynamical systems using axiomatic risk theory. We show that under our…