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Aditya Gahlawat
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2020 – today
- 2024
- [j5]Pan Zhao
, Ziyao Guo
Guaranteed Trajectory Tracking under Learned Dynamics with Contraction Metrics and Disturbance Estimation. Robotics 13(7): 99 (2024) - [c13]Minjun Sung, Sambhu H. Karumanchi, Aditya Gahlawat, Naira Hovakimyan:
Robust Model Based Reinforcement Learning Using L1 Adaptive Control. ICLR 2024 - [i20]Minjun Sung, Sambhu H. Karumanchi, Aditya Gahlawat, Naira Hovakimyan:
Robust Model Based Reinforcement Learning Using L1 Adaptive Control. CoRR abs/2403.14860 (2024) - 2023
- [j4]Lin Song
Generalization of Safe Optimal Control Actions on Networked Multiagent Systems. IEEE Trans. Control. Netw. Syst. 10(1): 491-502 (2023) - [i19]Zhuohuan Wu, Sheng Cheng, Pan Zhao, Aditya Gahlawat, Kasey A. Ackerman, Arun Lakshmanan, Chengyu Yang, Jiahao Yu, Naira Hovakimyan:
Ls1Quad: L1 Adaptive Augmentation of Geometric Control for Agile Quadrotors with Performance Guarantees. CoRR abs/2302.07208 (2023) - 2022
- [j3]Pan Zhao
Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics. IEEE Robotics Autom. Lett. 7(2): 5528-5535 (2022) - [c12]Zhuohuan Wu, Sheng Cheng, Kasey A. Ackerman, Aditya Gahlawat, Arun Lakshmanan, Pan Zhao
L1Adaptive Augmentation for Geometric Tracking Control of Quadrotors. ICRA 2022: 1329-1336 - 2021
- [c11]Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris:
Cooperative Path Integral Control for Stochastic Multi-Agent Systems. ACC 2021: 1262-1267 - [c10]Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou:
Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems. ACC 2021: 1334-1339 - [c9]Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan:
Risk-Sensitive Rendezvous Algorithm for Heterogeneous Agents in Urban Environments. ACC 2021: 3455-3460 - [c8]Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou:
Contraction ℒ1-Adaptive Control using Gaussian Processes. L4DC 2021: 1027-1040 - [i18]Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris:
Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems. CoRR abs/2102.09104 (2021) - [i17]Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan:
Safe Sampling-Based Air-Ground Rendezvous Algorithm for Complex Urban Environments. CoRR abs/2103.07519 (2021) - [i16]Pan Zhao, Arun Lakshmanan, Kasey A. Ackerman, Aditya Gahlawat, Marco Pavone, Naira Hovakimyan:
Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics. CoRR abs/2109.04453 (2021) - [i15]Zhuohuan Wu, Sheng Cheng, Kasey A. Ackerman, Aditya Gahlawat, Arun Lakshmanan, Pan Zhao, Naira Hovakimyan:
L1 Adaptive Augmentation for Geometric Tracking Control of Quadrotors. CoRR abs/2109.06998 (2021) - [i14]Lin Song, Neng Wan, Aditya Gahlawat, Chuyuan Tao, Naira Hovakimyan, Evangelos A. Theodorou:
Generalization of Safe Optimal Control Actions on Networked Multi-Agent Systems. CoRR abs/2109.09909 (2021) - [i13]Pan Zhao, Ziyao Guo, Yikun Cheng, Aditya Gahlawat, Naira Hovakimyan:
Guaranteed Contraction Control in the Presence of Imperfectly Learned Dynamics. CoRR abs/2112.08222 (2021) - 2020
- [j2]Aditya Gahlawat
Stability Analysis of Linear Partial Differential Equations With Generalized Energy Functions. IEEE Trans. Autom. Control. 65(5): 1924-1939 (2020) - [c7]Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan:
Safe Feedback Motion Planning: A Contraction Theory and ℒ1-Adaptive Control Based Approach. CDC 2020: 1578-1583 - [c6]Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou:
L1-GP: L1 Adaptive Control with Bayesian Learning. L4DC 2020: 826-837 - [i12]Andrew Patterson, Aditya Gahlawat, Naira Hovakimyan:
Learning Probabilistic Intersection Traffic Models for Trajectory Prediction. CoRR abs/2002.01965 (2020) - [i11]Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan:
Risk Sensitive Rendezvous Algorithm for Heterogeneous Agents in Urban Environments. CoRR abs/2002.05749 (2020) - [i10]Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan:
Safe Feedback Motion Planning: A Contraction Theory and L1-Adaptive Control Based Approach. CoRR abs/2004.01142 (2020) - [i9]Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou:
$\mathcal{L}_1$-$\mathcal{GP}$: $\mathcal{L}_1$ Adaptive Control with Bayesian Learning. CoRR abs/2004.14594 (2020) - [i8]Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou:
RL1-GP: Safe Simultaneous Learning and Control. CoRR abs/2009.03864 (2020) - [i7]Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou:
Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems. CoRR abs/2009.13609 (2020) - [i6]Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris:
Cooperative Path Integral Control for Stochastic Multi-Agent Systems. CoRR abs/2009.14775 (2020)
2010 – 2019
- 2018
- [i5]Hyung-Jin Yoon, Huaiyu Chen, Kehan Long, Heling Zhang, Aditya Gahlawat, Donghwan Lee, Naira Hovakimyan:
Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems. CoRR abs/1812.05256 (2018) - 2017
- [j1]Aditya Gahlawat, Matthew M. Peet:
A Convex Sum-of-Squares Approach to Analysis, State Feedback and Output Feedback Control of Parabolic PDEs. IEEE Trans. Autom. Control. 62(4): 1636-1651 (2017) - [c5]Aditya Gahlawat, Giorgio Valmorbida
A semi-definite programming approach to stability analysis of linear partial differential equations. CDC 2017: 1882-1887 - [i4]Aditya Gahlawat, Giorgio Valmorbida:
A Semi-Definite Programming Approach to Stability Analysis of Linear Partial Differential Equations. CoRR abs/1703.06371 (2017) - 2016
- [c4]Aditya Gahlawat, Matthew M. Peet:
Optimal state feedback boundary control of parabolic PDEs using SOS polynomials. ACC 2016: 4350-4355 - 2015
- [b1]Aditya Gahlawat:
Analysis and control of parabolic partial differential equations with application to tokamaks using sum-of-squares polynomials. (Analyse et contrôle des équations aux dérivées partielles parabolique aide de polynômes somme des carrés avec une application sur les tokamaks). Grenoble Alpes University, France, 2015 - [c3]Aditya Gahlawat, Matthew M. Peet:
Output feedback control of inhomogeneous parabolic PDEs with point actuation and point measurement using SOS and semi-separable kernels. CDC 2015: 1217-1223 - [i3]Aditya Gahlawat, Matthew M. Peet:
Output Feedback Control of Inhomogeneous Parabolic PDEs with Point Actuation and Point Measurement using SOS and Semi-Separable Kernels. CoRR abs/1503.06982 (2015) - [i2]Aditya Gahlawat, Matthew M. Peet:
A Convex Approach to Analysis, State and Output Feedback Control Parabolic PDEs Using Sum-of-Squares. CoRR abs/1507.05888 (2015) - 2014
- [i1]Aditya Gahlawat, Matthew M. Peet:
A Convex Approach to Output Feedback Control of Parabolic PDEs Using Sum-of-Squares. CoRR abs/1408.5206 (2014) - 2012
- [c2]Aditya Gahlawat, Emmanuel Witrant, Matthew M. Peet, Mazen Alamir
Bootstrap current optimization in Tokamaks using sum-of-squares polynomials. CDC 2012: 4359-4365 - 2011
- [c1]Aditya Gahlawat, Matthew M. Peet:
Designing observer-based controllers for PDE systems: A heat-conducting rod with point observation and boundary control. CDC/ECC 2011: 6985-6990
Coauthor Index
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