Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Meizhen Xia"'
Publikováno v:
Journal of the Franklin Institute. 359:9734-9758
Publikováno v:
International Journal of Robust and Nonlinear Control. 32:9307-9331
Publikováno v:
International Journal of Robust and Nonlinear Control. 30:4979-5003
Autor:
Meizhen Xia, Tianping Zhang
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 33:1079-1096
Summary Stochastic adaptive dynamic surface control is presented for a class of uncertain multiple‐input–multiple‐output (MIMO) nonlinear systems with unmodeled dynamics and full state constraints ...
Autor:
Tianping Zhang, Meizhen Xia
Publikováno v:
Journal of the Franklin Institute. 356:129-146
This paper solves the problem of adaptive neural dynamic surface control (DSC) for a class of full state constrained stochastic nonlinear systems with unmodeled dynamics. The concept of the state constraints in probability is first proposed and appli
Publikováno v:
2020 39th Chinese Control Conference (CCC).
In this paper, the problem of adaptive neural control is discussed for multi-input multi-output (MIMO) strict feedback nonlinear systems with time-varying output constraints and unmodeled dynamics. Using the composite function of hyperbolic tangent f
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 32:1731-1747
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 47:2378-2387
In this paper, adaptive neural dynamic surface control (DSC) is developed using radial basis function neural networks (NNs) for a class of pure-feedback nonlinear systems with full state constraints and dynamic uncertainties. Based on a one-to-one no
Publikováno v:
Automatica. 81:232-239
In this paper, the problem of adaptive neural network (NN) dynamic surface control (DSC) is discussed for a class of strict-feedback nonlinear systems with full state constraints and unmodeled dynamics. By introducing a one to one nonlinear mapping,
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 31:1704-1722
Summary In this paper, the problem of adaptive neural control is discussed for a class of strict-feedback time-varying delays nonlinear systems with full-state constraints and unmodeled dynamics, as well as distributed time-varying delays. The consid