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ORCIDYu Jiang 0003
Person information
- unicode name: 姜宇
- affiliation: ClearMotion, MA, USA
- affiliation (former): Mathworks Inc, Natick, MA, USA
- affiliation (PhD 2014): New York University, Department of Electrical Engineering, Brooklyn, NY, USA
Other persons with the same name
- Yu Jiang — disambiguation page
- Yu Jiang 0001
![[0000-0003-0955-503X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0955-503X")
— Tsinghua University, School of Software, Beijing, China (and 2 more) - Yu Jiang 0002 — Technical University of Denmark, Lyngby, Denmark (and 3 more)
- Yu Jiang 0004 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Yu Jiang 0005 — University of Memphis, School of Public Health, TN, USA
- Yu Jiang 0006 — Jilin University, College of Computer Science and Technology, Changchun, China
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2020 – today
- 2023
[c9]Yu Jiang, William Graves, Marco Giovanardi, Zackary Anderson:
On XYZ-Motion Planning for Autonomous Vehicles with Active Suspension Systems. ACC 2023: 3181-3186- 2022
- [c8]Rui Fan, Yikang Zhang, Sicen Guo, Jiahang Li, Yi Feng, Shuai Su, Yanting Zhang, Wenshuo Wang, Yu Jiang, Mohammud Junaid Bocus, Xingyi Zhu, Qijun Chen:
Urban Digital Twins for Intelligent Road Inspection. IEEE Big Data 2022: 5110-5114 - [c7]Yu Jiang, John Eisenmann, William Graves, Vijayaraghavan Sridhar, Zackary Anderson:
Terrain-based vehicle localization using an active suspension system. CCTA 2022: 752-757 - [i2]Nachuan Ma, Jiahe Fan, Wenshuo Wang, Jin Wu, Yu Jiang, Lihua Xie, Rui Fan:
Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms. CoRR abs/2204.13590 (2022) - [i1]Yu Jiang, John Eisenmann, William Graves, Vijayaraghavan Sridhar, Zackary Anderson:
Terrain-based vehicle localization using an active suspension system. CoRR abs/2208.07162 (2022)
2010 – 2019
- 2019
- [j16]Weinan Gao, Yu Jiang, Masoud Davari:
Data-Driven Cooperative Output Regulation of Multi-Agent Systems via Robust Adaptive Dynamic Programming. IEEE Trans. Circuits Syst. II Express Briefs 66-II(2): 447-451 (2019) - 2016
- [j15]Weinan Gao, Yu Jiang, Zhong-Ping Jiang, Tianyou Chai:
Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming. Autom. 72: 37-45 (2016) - [j14]Yu Jiang, Yebin Wang, Scott A. Bortoff, Zhong-Ping Jiang:
An iterative approach to the optimal co-design of linear control systems. Int. J. Control 89(4): 680-690 (2016) - [j13]Tao Bian, Yu Jiang, Zhong-Ping Jiang:
Adaptive Dynamic Programming for Stochastic Systems With State and Control Dependent Noise. IEEE Trans. Autom. Control. 61(12): 4170-4175 (2016) - 2015
- [j12]Yu Jiang, Zhong-Ping Jiang:
A robust adaptive dynamic programming principle for sensorimotor control with signal-dependent noise. J. Syst. Sci. Complex. 28(2): 261-288 (2015) - [j11]Yu Jiang, Zhong-Ping Jiang:
Global Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems. IEEE Trans. Autom. Control. 60(11): 2917-2929 (2015) - [j10]Tao Bian, Yu Jiang, Zhong-Ping Jiang:
Decentralized Adaptive Optimal Control of Large-Scale Systems With Application to Power Systems. IEEE Trans. Ind. Electron. 62(4): 2439-2447 (2015) - [j9]Yu Jiang, Yebin Wang, Scott A. Bortoff, Zhong-Ping Jiang:
Optimal Codesign of Nonlinear Control Systems Based on a Modified Policy Iteration Method. IEEE Trans. Neural Networks Learn. Syst. 26(2): 409-414 (2015) - 2014
- [j8]Tao Bian, Yu Jiang, Zhong-Ping Jiang:
Adaptive dynamic programming and optimal control of nonlinear nonaffine systems. Autom. 50(10): 2624-2632 (2014) - [j7]Yu Jiang, Zhong-Ping Jiang:
Adaptive dynamic programming as a theory of sensorimotor control. Biol. Cybern. 108(4): 459-473 (2014) - [c6]Tao Bian, Yu Jiang, Zhong-Ping Jiang:
Adaptive dynamic programming for nonlinear nonaffine systems. CDC 2014: 3603-3608 - 2013
- [j6]Zhong-Ping Jiang, Yu Jiang:
Robust adaptive dynamic programming for linear and nonlinear systems: An overview. Eur. J. Control 19(5): 417-425 (2013) - [j5]Ning Qian, Yu Jiang, Zhong-Ping Jiang, Pietro Mazzoni:
Movement Duration, Fitts's Law, and an Infinite-Horizon Optimal Feedback Control Model for Biological Motor Systems. Neural Comput. 25(3): 697-724 (2013) - [j4]Yu Jiang, Zhong-Ping Jiang:
Robust Adaptive Dynamic Programming With an Application to Power Systems. IEEE Trans. Neural Networks Learn. Syst. 24(7): 1150-1156 (2013) - [c5]Yu Jiang, Zhong-Ping Jiang:
Robust adaptive dynamic programming for optimal nonlinear control design. ASCC 2013: 1-6 - 2012
- [j3]Yu Jiang, Zhong-Ping Jiang:
Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics. Autom. 48(10): 2699-2704 (2012) - [j2]Yu Jiang, Zhong-Ping Jiang:
Robust Adaptive Dynamic Programming for Large-Scale Systems With an Application to Multimachine Power Systems. IEEE Trans. Circuits Syst. II Express Briefs 59-II(10): 693-697 (2012) - [c4]Yu Jiang, Zhong-Ping Jiang:
Robust adaptive dynamic programming for nonlinear control design. CDC 2012: 1896-1901 - 2011
- [j1]Yu Jiang, Zhong-Ping Jiang:
Approximate Dynamic Programming for Optimal Stationary Control With Control-Dependent Noise. IEEE Trans. Neural Networks 22(12): 2392-2398 (2011) - [c3]Yu Jiang, Zhong-Ping Jiang:
Approximate dynamic programming for stochastic systems with additive and multiplicative noise. ISIC 2011: 185-190 - [c2]Yu Jiang, Zhong-Ping Jiang:
Robust approximate dynamic programming and global stabilization with nonlinear dynamic uncertainties. CDC/ECC 2011: 115-120 - [c1]Yu Jiang, Srinivasa Chemudupati, Jan Morup Jorgensen, Zhong-Ping Jiang, Charles S. Peskin:
Optimal control mechanism involving the human kidney. CDC/ECC 2011: 3688-3693
Coauthor Index
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