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Neural network solution for finite-horizon H-infinity constrained optimal control of nonlinear syste
[期刊论文] 作者：Frank L.LEWIS,,
来源：Journal of Control Theory and Applications 年份：2007
In this paper,neural networks are used to approximately solve the finite-horizon constrained input H-infinity state feedback control problem.The method is based...
[期刊论文] 作者：Frank L.Lewis, Warren Dixon, Z,
来源：IEEE/CAA Journal of Automatica Sinica 年份：2014
ADAPTIVE control is a proven method for learning feedback controllers for systems with unknown dynamic models,exogenous disturbances,nonzero setpoints,and u...
[期刊论文] 作者：Frank L.Lewis,Warren Dixon,Zho,
来源：自动化学报：英文版 年份：2014
ADAPTIVE control is a proven method for learning feedback controllers for systems with unknown dynamic models,exogenous disturbances,nonzero setpoints,and u...
[期刊论文] 作者：Mohammed I.ABOUHEAF,Frank L.LEWIS,Magdi S.MAHMOUD,Dariusz G.MIKULSKI,,
来源：Control Theory and Technology 年份：2015
This paper introduces a model-free reinforcement learning technique that is used to solve a class of dynamic games known as dynamic graphical games. The graphic...
[期刊论文] 作者：Patrik KOLARIC,Ci CHEN,Ankur DALAL,Frank L.LEWIS,
来源：控制理论与技术（英文版） 年份：2018
In this paper,we design consensus algorithms for multiple unmanned aerial vehicles (UAV).We mainly focus on the control design in the face of measurement noise...
[期刊论文] 作者：Daizhan Cheng,Frank L.Lewis,Mark W.Spong,Jiangbo Liu,Jin Zhang,
来源：控制理论与技术（英文版） 年份：2017
This special issue is to honor professor Tzyh-Jong T for his 80 birthday.Prof.T is a world outstanding expert in Systems and Control Theory,Robotics and Quantum...
A unified approach to output synchronization of heterogeneous multi-agent systems via L2-gain design
[期刊论文] 作者：Shan ZUO,Yongduan SONG,Hamidreza MODARES,Frank L.LEWIS,Ali DAVOUDI,
来源：控制理论与技术（英文版） 年份：2017
In this paper,a unified design procedure is given for output synchronization of heterogeneous multi-agent systems (MAS) on communication graph topologies,using...
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