4 citations · 7 across the 9 of their papers we have counts for
9 papers
Motion Planning for Hybrid Dynamical Systems: Framework, Algorithm Template, and a Sampling-based Approach
Nan Wang, Ricardo G. Sanfelice
This paper focuses on the motion planning problem for the systems exhibiting both continuous and discrete behaviors, which we refer to as hybrid dynamical systems. Firstly, the mot…
HyRRT-Connect: A Bidirectional Rapidly-Exploring Random Trees Motion Planning Algorithm for Hybrid Systems
Nan Wang, Ricardo G. Sanfelice
This paper proposes a bidirectional rapidly-exploring random trees (RRT) algorithm to solve the motion planning problem for hybrid systems. The proposed algorithm, called HyRRT-Con…
Deep Nonlinear Adaptive Control for Unmanned Aerial Systems Operating under Dynamic Uncertainties
Zachary Lamb, Zachary I. Bell, Matthew Longmire +3
Recent literature in the field of machine learning (ML) control has shown promising theoretical results for a Deep Neural Network (DNN) based Nonlinear Adaptive Controller (DNAC) c…
Robust Parameter Estimation for Hybrid Dynamical Systems
Ryan S. Johnson, Stefano Di Cairano, Ricardo G. Sanfelice
We consider the problem of estimating a vector of unknown constant parameters for a class of hybrid dynamical systems -- that is, systems whose state variables exhibit both continu…
HySST: A Stable Sparse Rapidly-Exploring Random Trees Optimal Motion Planning Algorithm for Hybrid Dynamical Systems
Nan Wang, Ricardo G. Sanfelice
This paper proposes a stable sparse rapidly-exploring random trees (SST) algorithm to solve the optimal motion planning problem for hybrid systems. At each iteration, the proposed…
Hybrid Persistency of Excitation in Adaptive Estimation for Hybrid Systems
Adnane Saoud, Mohamed Maghenem, Antonio Loría +1
We propose a framework to analyze stability for a class of linear non-autonomous hybrid systems, where the continuous evolution of solutions is governed by an ordinary differential…