Robust adaptive dynamic programming for large- scale systems with an application to multimachine power systems. IEEE Transactions on Circuits and Systems II: Express Briefs, 59(10), 693-697.Jiang, Y., Jiang, Z.: Robust adaptive dynamic programming for large-scale systems with an application to...
Then, the idea of neural dynamic programming is adopted to perform the main controller design task by building and training a critic network. Finally, the effectiveness of the present adaptive robust control strategy is illustrated via a simulation example....
His current research interests include robust output-feedback control, adaptive dynamic programming and adaptive parameter identification of industrial robots. Jing Na (M’5) received the B.Eng. and Ph.D. degrees from the School of Automation, Beijing Institute of Technology, Beijing, China, in ...
This brief studies the cooperative output regulation problems of multi-agent systems with parametric and dynamic uncertainties. By means of robust adaptive dynamic programming, a model-free distributed controller is developed via online input and state data. The cyclic-small-gain theorem is applied to...
Zhong-Ping JIANG is a Professor ofElectrical and Computer Engineering at New York University, a recipient of theDistinguished Overseas Chinese Scholar Award from the NSF of China. Prof. Jiangis a Fellow of the IEEE and a Fellow of the IFAC.0...
This paper aims to develop a robust optimal control method for longitudinal dynamics of missile systems with full-state constraints suffering from mismatched disturbances by using adaptive dynamic programming (ADP) technique. First, the constrained states are mapped by smooth functions, thus, the conside...
Event-Triggered Adaptive Dynamic Programming for Unmatched Uncertain Nonlinear Continuous-Time Systems doi:10.1109/TNNLS.2020.3009015Shan XueBiao LuoDerong LiuIEEEIEEE Transactions on Neural Networks and Learning Systems S Xue,B Luo,D Liu - 《IEEE Transactions on Neural Networks & Learning Systems》 被引...
Sun J, Liu C (2019) Decentralised zero-sum differential game for a class of large-scale interconnected systems via adaptive dynamic programming. Int J Control 92(12):2917–2927 Article MathSciNet Google Scholar Luo B, Wu HN, Huang T et al (2014) Data-based approximate policy iteration fo...
A path update law and a kinetic control law are calculated to cover noncooperative games by using an adaptive dynamic programming approach. Theoretical analysis shows that the closed-loop system is input-to-state stable, and the proposed method can meet the geometric objective, the dynamic ...
In this paper, a novel robust adaptive dynamic programming (RADP)-based control strategy is presented for the optimal control of a class of output-constrained continuous-time unknown nonlinear systems. Our contribution includes a step forward beyond the usual optimal control result to show that the...