Zhong-Ping Jiang

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Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Yu Jiang 0003

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Publications

2016
[j133]
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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)
[j129]
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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)
[j125]
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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
[j119]
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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)
[j116]
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Yu Jiang, Zhong-Ping Jiang:
Global Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems. IEEE Trans. Autom. Control. 60(11): 2917-2929 (2015)
[j115]
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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)
[j114]
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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
[j108]
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Tao Bian, Yu Jiang, Zhong-Ping Jiang:
Adaptive dynamic programming and optimal control of nonlinear nonaffine systems. Autom. 50(10): 2624-2632 (2014)
[j107]
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  - journals/bc/JiangJ14
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Yu Jiang, Zhong-Ping Jiang:
Adaptive dynamic programming as a theory of sensorimotor control. Biol. Cybern. 108(4): 459-473 (2014)
[c83]
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  - conf/cdc/BianJJ14
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Tao Bian, Yu Jiang, Zhong-Ping Jiang:
Adaptive dynamic programming for nonlinear nonaffine systems. CDC 2014: 3603-3608
2013
[j103]
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Zhong-Ping Jiang, Yu Jiang:
Robust adaptive dynamic programming for linear and nonlinear systems: An overview. Eur. J. Control 19(5): 417-425 (2013)
[j102]
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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)
[j97]
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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)
[c79]
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Yu Jiang, Zhong-Ping Jiang:
Robust adaptive dynamic programming for optimal nonlinear control design. ASCC 2013: 1-6
2012
[j92]
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  - journals/automatica/JiangJ12
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Yu Jiang, Zhong-Ping Jiang:
Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics. Autom. 48(10): 2699-2704 (2012)
[j86]
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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)
[c74]
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Yu Jiang, Zhong-Ping Jiang:
Robust adaptive dynamic programming for nonlinear control design. CDC 2012: 1896-1901
2011
[j82]
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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)
[c70]
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Yu Jiang, Zhong-Ping Jiang:
Approximate dynamic programming for stochastic systems with additive and multiplicative noise. ISIC 2011: 185-190
[c68]
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Yu Jiang, Zhong-Ping Jiang:
Robust approximate dynamic programming and global stabilization with nonlinear dynamic uncertainties. CDC/ECC 2011: 115-120
[c66]
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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

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