This chapter introduces a new concept of robust adaptive dynamic programming (RADP), a natural extension of ADP to uncertain dynamic systems. It presents an online learning strategy for the design of robust ada
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....
缺陷和限制-robust adaptive dynamic programmingJo**on 上传1.13MB 文件格式 pdf 中科大软院软 5.1 软件能力 软件完成需求描述的功能,对边界情况和各种条件组合情况也满足输出要求。 5.2 缺陷和限制 健壮性有待提升,测试用例无法穷举,可能有位置错误,没测出来。 5.3 建议 健壮性有待提升,测试多采用的弱...
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...
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 ...
adaptive robust controlmodel uncertaintystochastic controltime-consistencydynamic programmingoptimal acquisitiononline learningalgorithmic tradingWe propose a continuous-time version of the adaptive robust methodology introduced in Bielecki et al. (2019). An agent solves a stochastic control problem whe...
6 proposed autofocus control system based on Gaussian shaped focus measure curve and adaptive hill-climbing method. Elsewhere, Harada, et al.7 developed a closed-loop autofocus system for SEM through a customized bandpass filter. Moreover, recently, deep learning-based autofocus systems that have ...