Yu Jiang

Proceedings of the American Control Conference, 2024

2023

On XYZ-Motion Planning for Autonomous Vehicles with Active Suspension Systems.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2023

2022

Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms.

[BibT_eX]

[DOI]

CoRR, 2022

Terrain-based vehicle localization using an active suspension system.

[BibT_eX]

[DOI]

John Eisenmann

William Graves

Vijayaraghavan Sridhar

Zackary Anderson

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Urban Digital Twins for Intelligent Road Inspection.

[BibT_eX]

[DOI]

Mohammud Junaid Bocus

Xingyi Zhu

Qijun Chen

Proceedings of the IEEE International Conference on Big Data, 2022

2019

Data-Driven Cooperative Output Regulation of Multi-Agent Systems via Robust Adaptive Dynamic Programming.

[BibT_eX]

[DOI]

Weinan Gao

Masoud Davari

IEEE Trans. Circuits Syst. II Express Briefs, 2019

2016

Adaptive Dynamic Programming for Stochastic Systems With State and Control Dependent Noise.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2016

An iterative approach to the optimal co-design of linear control systems.

[BibT_eX]

[DOI]

Int. J. Control, 2016

Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming.

[BibT_eX]

[DOI]

Autom., 2016

2015

Optimal Codesign of Nonlinear Control Systems Based on a Modified Policy Iteration Method.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Decentralized Adaptive Optimal Control of Large-Scale Systems With Application to Power Systems.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2015

Global Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2015

A robust adaptive dynamic programming principle for sensorimotor control with signal-dependent noise.

[BibT_eX]

[DOI]

J. Syst. Sci. Complex., 2015

2014

Adaptive dynamic programming as a theory of sensorimotor control.

[BibT_eX]

[DOI]

Biol. Cybern., 2014

Adaptive dynamic programming and optimal control of nonlinear nonaffine systems.

[BibT_eX]

[DOI]

Autom., 2014

Adaptive dynamic programming for nonlinear nonaffine systems.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Robust Adaptive Dynamic Programming With an Application to Power Systems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Movement Duration, Fitts's Law, and an Infinite-Horizon Optimal Feedback Control Model for Biological Motor Systems.

[BibT_eX]

[DOI]

Neural Comput., 2013

Robust adaptive dynamic programming for linear and nonlinear systems: An overview.

[BibT_eX]

[DOI]

Eur. J. Control, 2013

Robust adaptive dynamic programming for optimal nonlinear control design.

[BibT_eX]

[DOI]

Proceedings of the 9th Asian Control Conference, 2013

2012

Robust Adaptive Dynamic Programming for Large-Scale Systems With an Application to Multimachine Power Systems.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, 2012

Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics.

[BibT_eX]

[DOI]

Autom., 2012

Robust adaptive dynamic programming for nonlinear control design.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

Approximate Dynamic Programming for Optimal Stationary Control With Control-Dependent Noise.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Robust approximate dynamic programming and global stabilization with nonlinear dynamic uncertainties.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Optimal control mechanism involving the human kidney.

[BibT_eX]

[DOI]

Srinivasa Chemudupati

Jan Morup Jorgensen

Charles S. Peskin

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Approximate dynamic programming for stochastic systems with additive and multiplicative noise.

[BibT_eX]

[DOI]