Search Results for author: Pio Ong

Found 5 papers, 0 papers with code

Characterizing Smooth Safety Filters via the Implicit Function Theorem

no code implementations22 Sep 2023 Max H. Cohen, Pio Ong, Gilbert Bahati, Aaron D. Ames

Optimization-based safety filters, such as control barrier function (CBF) based quadratic programs (QPs), have demonstrated success in controlling autonomous systems to achieve complex goals.

Sample-and-Hold Safety with Control Barrier Functions

no code implementations18 Apr 2023 Gilbert Bahati, Pio Ong, Aaron D. Ames

A common assumption on the deployment of safeguarding controllers on the digital platform is that high sampling frequency translates to a small violation of safety.

Intermittent Safety Filters for Event-Triggered Safety Maneuvers with Application to Satellite Orbit Transfers

no code implementations18 Apr 2023 Pio Ong, Aaron D. Ames

Our first trigger in the scheme monitors safety constraints encoded by barrier functions, and thereby ensures safety without the need to alter the nominal controller--and when the boundary of the safety constraint is approached, the controller drives the system to the region where control actions are not needed.

Stability and Safety through Event-Triggered Intermittent Control with Application to Spacecraft Orbit Stabilization

no code implementations6 Apr 2022 Pio Ong, Gilbert Bahati, Aaron D. Ames

Motivated by the event-triggered control paradigm, where state-dependent triggers are utilized in a sample-and-hold context, we generalize this concept to include state triggers where the controller is off thereby creating a framework for intermittent control.

Safe Backstepping with Control Barrier Functions

no code implementations1 Apr 2022 Andrew J. Taylor, Pio Ong, Tamas G. Molnar, Aaron D. Ames

Complex control systems are often described in a layered fashion, represented as higher-order systems where the inputs appear after a chain of integrators.

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