11 citations · 34 across the 20 of their papers we have counts for
6 papers · 1 filter
Electromagnetic Formation Flying with State and Input Constraints Using Alternating Magnetic Field Forces
Sumit S. Kamat, T. Michael Seigler, Jesse B. Hoagg
This article presents a feedback control algorithm for electromagnetic formation flying with constraints on the satellites' states and control inputs. The algorithm combines severa…
Adaptive Control Barrier Functions with Vanishing Conservativeness Under Persistency of Excitation
Ricardo Gutierrez, Jesse B. Hoagg
This article presents a closed-form adaptive controlbarrier-function (CBF) approach for satisfying state constraints in systems with parametric uncertainty. This approach uses a sa…
Guaranteed-Safe MPPI Through Composite Control Barrier Functions for Efficient Sampling in Multi-Constrained Robotic Systems
Pedram Rabiee, Jesse B. Hoagg
We present a new guaranteed-safe model predictive path integral (GS-MPPI) control algorithm that enhances sample efficiency in nonlinear systems with multiple safety constraints. T…
Safe Navigation in Unmapped Environments for Robotic Systems with Input Constraints
Amirsaeid Safari, Jesse B. Hoagg
This paper presents an approach for navigation and control in unmapped environments under input and state constraints using a composite control barrier function (CBF). We consider…
Time-Varying Soft-Maximum Barrier Functions for Safety in Unmapped and Dynamic Environments
Amirsaeid Safari, Jesse B. Hoagg
We present a closed-form optimal feedback control method that ensures safety in an a prior unknown and potentially dynamic environment. This article considers the scenario where lo…
A Closed-Form Control for Safety Under Input Constraints Using a Composition of Control Barrier Functions
Pedram Rabiee, Jesse B. Hoagg
We present a closed-form optimal control that satisfies both safety constraints (i.e., state constraints) and input constraints (e.g., actuator limits) using a composition of multi…