2 citations · 4 across the 4 of their papers we have counts for
6 papers
Cooperative Energy and Time-Optimal Lane Change Maneuvers with Minimal Highway Traffic Disruption
Andres S. Chavez Armijos, Anni Li, Christos G. Cassandras +6
We derive optimal control policies for a Connected Automated Vehicle (CAV) and cooperating neighboring CAVs to carry out a lane change maneuver consisting of a longitudinal phase w…
Optimal Transport Based Refinement of Physics-Informed Neural Networks
Vaishnav Tadiparthi, Raktim Bhattacharya
In this paper, we propose a refinement strategy to the well-known Physics-Informed Neural Networks (PINNs) for solving partial differential equations (PDEs) based on the concept of…
A Lagrangian Method for Constrained Dynamics in Tensegrity Systems with Compressible Bars
Shao-Chen Hsu, Vaishnav Tadiparthi, Raktim Bhattacharya
This paper presents a Lagrangian approach to simulating multibody dynamics in a tensegrity framework with an ability to tackle holonomic constraint violations in an energy-preservi…
Computationally Efficient Attitude Estimation with Extended Filtering
Sunsoo Kim, Vaishnav Tadiparthi, Raktim Bhattacharya
Accurate state estimation using low-cost MEMS (Micro Electro- Mechanical Systems) sensors present on Commercial-off-the-shelf (COTS) drones is a challenging problem. Most UAV syste…
Robust LQR for Uncertain Discrete-Time Systems using Polynomial Chaos
Vaishnav Tadiparthi, Raktim Bhattacharya
In this paper, a polynomial chaos based framework for designing controllers for discrete time linear systems with probabilistic parameters is presented. Conditions for exponential-…
Nonlinear Attitude Estimation for Small UAVs with Low Power Microprocessors
Sunsoo Kim, Vaishnav Tadiparthi, Raktim Bhattacharya
Among algorithms used for sensor fusion for attitude estimation in unmanned aerial vehicles, the Extended Kalman Filter (EKF) is the most commonly used for estimation. In this pape…