activity
20202022
most citedRecursive Analytic Solution of Nonlinear Optimal Regulators

2 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY20222 cited

Gaussian Process Barrier States for Safe Trajectory Optimization and Control

Hassan Almubarak, Manan Gandhi, Yuichiro Aoyama +2

This paper proposes embedded Gaussian Process Barrier States (GP-BaS), a methodology to safely control unmodeled dynamics of nonlinear system using Bayesian learning. Gaussian Proc…

math.OC20221 cited

Sampling-Based Optimization for Multi-Agent Model Predictive Control

Ziyi Wang, Augustinos D. Saravanos, Hassan Almubarak +2

We systematically review the Variational Optimization, Variational Inference and Stochastic Search perspectives on sampling-based dynamic optimization and discuss their connections…

eess.SY20221 cited

Safety in Augmented Importance Sampling: Performance Bounds for Robust MPPI

Manan Gandhi, Hassan Almubarak, Yuichiro Aoyama +1

This work explores the nature of augmented importance sampling in safety-constrained model predictive control problems. When operating in a constrained environment, sampling based…

eess.SY2021

Safety Embedded Control of Nonlinear Systems via Barrier States

Hassan Almubarak, Nader Sadegh, Evangelos A. Theodorou

In many safety-critical control systems, possibly opposing safety restrictions and control performance objectives arise. To confront such a conflict, this letter proposes a novel m…

eess.SY20202 cited

Recursive Analytic Solution of Nonlinear Optimal Regulators

Nader Sadegh, Hassan Almubarak

The paper develops an optimal regulator for a general class of multi-input affine nonlinear systems minimizing a nonlinear cost functional with infinite horizon. The cost functiona…