Reachable-Set Constrained Model Predictive Control for Safe Hypersonic Reentry

This paper investigates the application of reachability analysis within the context of the atmospheric reentry problem. We address the crucial challenge of ensuring reentry vehicle safety by integrating reachability analysis with model predictive control (MPC). Our approach enables the design of controllers with formal safety guarantees under disturbances and uncertainties. Constraints derived from reachability analysis are enforced using both nonlinear and linear time-varying MPC techniques. We further apply tube-based MPC to specifically address nonlinear systems with additive disturbances. Simulations demonstrate the effectiveness of our approach in complex nonlinear reentry scenarios and highlight the significant value of combining reachability analysis with MPC for the development of provably safe control systems operating in uncertain environments.

Authors

Institutions

Publication Details

Journal
Journal of Guidance Control and Dynamics
Published
2025-04-07
DOI
https://doi.org/10.2514/1.g008436
Citations
4
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
4.86

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reachable-Set Constrained Model Predictive Control for Safe Hypersonic Reentry

Kamesh Subbarao, Jinaykumar Patel
4 citations
Journal of Guidance Control and Dynamics
Advanced Control Systems Optimization
4.86
article

Reachable-Set Constrained Model Predictive Control for Safe Hypersonic Reentry

Kamesh Subbarao, Jinaykumar Patel
article en
4 citations

Abstract

This paper investigates the application of reachability analysis within the context of the atmospheric reentry problem. We address the crucial challenge of ensuring reentry vehicle safety by integrating reachability analysis with model predictive control (MPC). Our approach enables the design of controllers with formal safety guarantees under disturbances and uncertainties. Constraints derived from reachability analysis are enforced using both nonlinear and linear time-varying MPC techniques. We further apply tube-based MPC to specifically address nonlinear systems with additive disturbances. Simulations demonstrate the effectiveness of our approach in complex nonlinear reentry scenarios and highlight the significant value of combining reachability analysis with MPC for the development of provably safe control systems operating in uncertain environments.

Journal of Guidance Control and DynamicsVol. 48(6)
The University of Texas at Arlington (US)
National Aeronautics and Space Administration
Openalex Percentile: Top 5%
Advanced Control Systems Optimization
4.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Reachable-Set Constrained Model Predictive Control for Safe Hypersonic Reentry — Kamesh Subbarao, Jinaykumar Patel · Journal of Guidance Control and Dynamics (2025) | TGRS Research Map | TGRS