Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jiaxu Hou"'
Publikováno v:
2022 18th International Conference on Computational Intelligence and Security (CIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9ecc5ec2eac8925a161ba4fa7379a7f
https://doi.org/10.1109/cis58238.2022.00049
https://doi.org/10.1109/cis58238.2022.00049
Publikováno v:
2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::837841792b199985a7fd75877ab6827e
https://doi.org/10.1109/docs55193.2022.9967753
https://doi.org/10.1109/docs55193.2022.9967753
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 50:4097-4108
In this paper, an $H_{\infty }$ optimal tracking controller for completely unknown discrete-time nonlinear systems with control constraints is obtained by using an iterative adaptive learning algorithm. An augmented system is established by integrati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::247d1bbb2d9f6497adfff0d2d206dca8
https://doi.org/10.1109/tsmc.2018.2863708
https://doi.org/10.1109/tsmc.2018.2863708
Neuro-Control for Continuous-Time Stochastic Nonlinear Systems via Online Policy Iteration Algorithm
Publikováno v:
2020 Chinese Control And Decision Conference (CCDC).
This paper is concerned with the neuro-control for continuous-time nonlinear systems subject to stochastic disturbance. Due to the stochastic disturbance, the traditional value function in existing literature cannot meet the stochastic control proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05088048718b383eef2e1e56b4c7fd5d
https://doi.org/10.1109/ccdc49329.2020.9164777
https://doi.org/10.1109/ccdc49329.2020.9164777
Publikováno v:
ICCDE
In this paper, the approximate optimal control problem for nonlinear systems with mismatched perturbations is addressed through asymptotically stable critic neural network (NN). By employing the estimated perturbation via nonlinear perturbation obser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbd571c2ac06662f94f0b0effe4413d5
https://doi.org/10.1145/3379247.3379265
https://doi.org/10.1145/3379247.3379265
Publikováno v:
2018 37th Chinese Control Conference (CCC).
This paper, considering constrained inputs, focuses on designing the optimal controller for discrete-time $H_{\infty}$ tracking control problems. The neural-network-based iterative learning algorithm is deemed to be an excellent method to work. The i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d49273876cb22d0db5836ef98a937b7c
https://doi.org/10.23919/chicc.2018.8482661
https://doi.org/10.23919/chicc.2018.8482661
Publikováno v:
2018 13th World Congress on Intelligent Control and Automation (WCICA).
For a class of discrete-time nonlinear systems with known internal dynamics, one of the problems worth discussing is H∞ formula, which could be used to attenuate the influence of disturbance effectively. To deal with the H∞ control problem for no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91e3e6b585ba7d70d651ac332cde1388
https://doi.org/10.1109/wcica.2018.8630596
https://doi.org/10.1109/wcica.2018.8630596