17 citations · 41 across the 14 of their papers we have counts for
11 papers · 1 filter
Dynamic Incentive Selection for Hierarchical Convex Model Predictive Control
Akshay Thirugnanam, Koushil Sreenath
In this paper, we discuss incentive design for hierarchical model predictive control (MPC) systems viewed as Stackelberg games. We consider a hierarchical MPC formulation where, gi…
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty
Fernando Castañeda, Jason J. Choi, Bike Zhang +2
Control Barrier Functions (CBFs) and Control Lyapunov Functions (CLFs) are popular tools for enforcing safety and stability of a controlled system, respectively. They are commonly…
Enhancing Feasibility and Safety of Nonlinear Model Predictive Control with Discrete-Time Control Barrier Functions
Jun Zeng, Zhongyu Li, Koushil Sreenath
Safety is one of the fundamental problems in robotics. Recently, one-step or multi-step optimal control problems for discrete-time nonlinear dynamical system were formulated to off…
Robust Control Barrier-Value Functions for Safety-Critical Control
Jason J. Choi, Donggun Lee, Koushil Sreenath +2
This paper works towards unifying two popular approaches in the safety control community: Hamilton-Jacobi (HJ) reachability and Control Barrier Functions (CBFs). HJ Reachability ha…
Rule-Based Safety-Critical Control Design using Control Barrier Functions with Application to Autonomous Lane Change
Suiyi He, Jun Zeng, Bike Zhang +1
This paper develops a new control design for guaranteeing a vehicle's safety during lane change maneuvers in a complex traffic environment. The proposed method uses a finite state…
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics
Fernando Castañeda, Jason J. Choi, Bike Zhang +2
This paper presents a method to design a min-norm Control Lyapunov Function (CLF)-based stabilizing controller for a control-affine system with uncertain dynamics using Gaussian Pr…