Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Lakshmanan Arun"'
Autor:
Wu, Zhuohuan, Cheng, Sheng, Zhao, Pan, Gahlawat, Aditya, Ackerman, Kasey A., Lakshmanan, Arun, Yang, Chengyu, Yu, Jiahao, Hovakimyan, Naira
Quadrotors that can operate safely in the presence of imperfect model knowledge and external disturbances are crucial in safety-critical applications. We present L1Quad, a control architecture for quadrotors based on the L1 adaptive control. L1Quad e
Externí odkaz:
http://arxiv.org/abs/2302.07208
Publikováno v:
Journal of Marketing; Jan2025, Vol. 89 Issue 1, p56-76, 21p
Autor:
Wu, Zhuohuan, Cheng, Sheng, Ackerman, Kasey A., Gahlawat, Aditya, Lakshmanan, Arun, Zhao, Pan, Hovakimyan, Naira
This paper introduces an $\mathcal{L}_1$ adaptive control augmentation for geometric tracking control of quadrotors. In the proposed design, the $\mathcal{L}_1$ augmentation handles nonlinear (time- and state-dependent) uncertainties in the quadrotor
Externí odkaz:
http://arxiv.org/abs/2109.06998
Autor:
Zhao, Pan, Lakshmanan, Arun, Ackerman, Kasey, Gahlawat, Aditya, Pavone, Marco, Hovakimyan, Naira
This paper presents an approach towards guaranteed trajectory tracking for nonlinear control-affine systems subject to external disturbances based on robust control contraction metrics (CCM) that aims to minimize the $\mathcal L_\infty$ gain from the
Externí odkaz:
http://arxiv.org/abs/2109.04453
Autor:
Gahlawat, Aditya, Lakshmanan, Arun, Song, Lin, Patterson, Andrew, Wu, Zhuohuan, Hovakimyan, Naira, Theodorou, Evangelos
We present $\mathcal{CL}_1$-$\mathcal{GP}$, a control framework that enables safe simultaneous learning and control for systems subject to uncertainties. The two main constituents are contraction theory-based $\mathcal{L}_1$ ($\mathcal{CL}_1$) contro
Externí odkaz:
http://arxiv.org/abs/2009.03864
Autonomous robots that are capable of operating safely in the presence of imperfect model knowledge or external disturbances are vital in safety-critical applications. In this paper, we present a planner-agnostic framework to design and certify safe
Externí odkaz:
http://arxiv.org/abs/2004.01142
Autor:
Suzuki Kenji, Lakshmanan Arun, Sukumaran Vijayakumar, Harima Meilei, Thandavarayan Rajarajan A, Veeraveedu Punniyakoti T, Sari Flori R, Soetikno Vivian, Kawachi Hiroshi, Watanabe Kenichi
Publikováno v:
Nutrition & Metabolism, Vol 8, Iss 1, p 35 (2011)
Abstract Background Chronic inflammation plays an important role in the progression of diabetic nephropathy (DN) and that the infiltration of macrophages in glomerulus has been implicated in the development of glomerular injury. We hypothesized that
Externí odkaz:
https://doaj.org/article/2c9a043828584fd890ae38eae9adbd52
Collision prediction in a dynamic and unknown environment relies on knowledge of how the environment is changing. Many collision prediction methods rely on deterministic knowledge of how obstacles are moving in the environment. However, complete dete
Externí odkaz:
http://arxiv.org/abs/1904.02765
In motion planning problems for autonomous robots, such as self-driving cars, the robot must ensure that its planned path is not in close proximity to obstacles in the environment. However, the problem of evaluating the proximity is generally non-con
Externí odkaz:
http://arxiv.org/abs/1902.05027
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