Jonathan DeCastro
Jonathan DeCastro
Toyota Research Institute
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
User's guide for the commercial modular aero-propulsion system simulation (C-MAPSS)
DK Frederick, JA DeCastro, JS Litt
1762007
A modular aero-propulsion system simulation of a large commercial aircraft engine
JA DeCastro, JS Litt, DK Frederick
44th Joint Propulsion Conference and Exhibit, 2008
802008
Robust fault diagnosis of aircraft engines: A nonlinear adaptive estimation-based approach
X Zhang, L Tang, J DeCastro
IEEE Transactions on Control Systems Technology 21 (3), 861-868, 2012
602012
Rate-based model predictive control of turbofan engine clearance
JA DeCastro
Journal of propulsion and power 23 (4), 804-813, 2007
442007
Reactive mission and motion planning with deadlock resolution avoiding dynamic obstacles
J Alonso-Mora, JA DeCastro, V Raman, D Rus, H Kress-Gazit
Autonomous Robots 42 (4), 801-824, 2018
342018
Collision-Free Reactive Mission and Motion Planning for Multi-Robot Systems
JA DeCastro, J Alonso-Mora, V Raman, D Rus, H Kress-Gazit
342015
Synthesis of Nonlinear Continuous Controllers for Verifiably-Correct High-Level, Reactive Behaviors
JA DeCastro, H Kress-Gazit
International Journal of Robotics Research, 2014
312014
Autonomous vehicle battery state-of-charge prognostics enhanced mission planning
B Zhang, L Tang, J DeCastro, M Roemer, K Goebel
Int. J. Prognostics Health Manage. 5 (2), 1-12, 2014
312014
Guaranteeing reactive high-level behaviors for robots with complex dynamics
JA DeCastro, H Kress-Gazit
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
292013
Development of a numerical model for high-temperature shape memory alloys
JA DeCastro, KJ Melcher, RD Noebe, DJ Gaydosh
Smart Materials and Structures 16 (6), 2080, 2007
282007
User's guide for the commercial modular aero-propulsion system simulation (c-mapss): Version 2
Y Liu, DK Frederick, JA DeCastro, JS Litt, WW Chan
232012
Exact nonlinear filtering and prediction in process model-based prognostics
JA DeCastro, L Tang, KA Loparo, K Goebel, G Vachtsevanos
Annual conference of the prognostics and health management society, 2009
202009
A unified nonlinear adaptive approach for detection and isolation of engine faults
L Tang, X Zhang, JA DeCastro, L Farfan-Ramos, DL Simon
Turbo Expo: Power for Land, Sea, and Air 43987, 143-153, 2010
192010
A verification methodology for prognostic algorithms
B Zhang, L Tang, J DeCastro, K Goebel
2010 IEEE AUTOTESTCON, 1-8, 2010
162010
Dynamics-Driven Adaptive Abstraction for Reactive High-Level Mission and Motion Planning
JA DeCastro, V Raman, H Kress-Gazit
Proceedings of the 2015 International Conference on Robotics and Automation …, 2015
132015
Nonlinear controller synthesis and automatic workspace partitioning for reactive high-level behaviors
JA DeCastro, H Kress-Gazit
Proceedings of the 19th International Conference on Hybrid Systems …, 2016
122016
DiversityGAN: Diversity-aware vehicle motion prediction via latent semantic sampling
X Huang, SG McGill, JA DeCastro, L Fletcher, JJ Leonard, BC Williams, ...
IEEE Robotics and Automation Letters 5 (4), 5089-5096, 2020
11*2020
A safety verification approach to fault-tolerant aircraft supervisory control
J DeCastro, L Tang, B Zhang, G Vachtsevanos
AIAA Guidance, Navigation, and Control Conference, 6557, 2011
102011
Compositional and contract-based verification for autonomous driving on road networks
L Liebenwein, W Schwarting, CI Vasile, J DeCastro, J Alonso-Mora, ...
Robotics Research, 163-181, 2020
82020
Automated generation of dynamics-based runtime certificates for high-level control
J DeCastro, R Ehlers, M Rungger, A Balkan, H Kress-Gazit
Discrete Event Dynamic Systems, 1-35, 2017
72017
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Articles 1–20