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Adaptive H ∞ sliding mode control of uncertain neutral‐type stochastic systems based on state observer
Author(s) -
Liu Zhen,
Yu Jinpeng,
Karimi Hamid Reza
Publication year - 2019
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.4817
Subject(s) - control theory (sociology) , sliding mode control , perturbation (astronomy) , adaptive control , state observer , observer (physics) , type (biology) , state variable , state (computer science) , mathematics , computer science , mode (computer interface) , control (management) , nonlinear system , algorithm , physics , artificial intelligence , ecology , quantum mechanics , biology , operating system , thermodynamics
Summary This paper is focused on the problem of adaptive sliding mode control design for uncertain neutral‐type stochastic systems under a prescribed H ∞ performance. A simplified state observer is put forward to estimate the unknown state variables, which could be properly incorporated for establishing a new linear‐type switching surface and the associated adaptive variable structure controller. By virtue of the adaptive control design, unknown matched perturbation and potential uncertainties can be counteracted, and the system trajectories are guaranteed to reach the predefined switching surface within finite moment in almost surely sense, and performance analysis of the closed‐loop dynamics during the sliding surface is carried out with a specified H ∞ performance. At last, two illustrative examples through computer simulations are provided to verify the effectiveness and applicability of the proposed scheme.