Adaptive Observer-Based Control for a Class of Nonlinear Stochastic Systems with Parameter Uncertainty

Business Intelligence and Information Technology - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-92632-8_67 ◽

2021 ◽

pp. 715-722

Author(s):

Xiufeng Miao ◽

Yaoqun Xu

Keyword(s):

Parameter Uncertainty ◽

Stochastic Systems ◽

Adaptive Observer ◽

Nonlinear Stochastic Systems

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Adaptive observer-based control for uncertain nonlinear stochastic systems with time-delay

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2016.06.036 ◽

2016 ◽

Vol 353 (14) ◽

pp. 3595-3609 ◽

Author(s):

Xiufeng Miao ◽

Longsuo Li

Keyword(s):

Stochastic Systems ◽

Adaptive Observer ◽

Nonlinear Stochastic Systems

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Adaptive observer-based control for a class of nonlinear stochastic systems

International Journal of Computer Mathematics ◽

10.1080/00207160.2014.976562 ◽

2014 ◽

Vol 92 (11) ◽

pp. 2251-2260 ◽

Author(s):

Xiufeng Miao ◽

Longsuo Li

Keyword(s):

Stochastic Systems ◽

Adaptive Observer ◽

Nonlinear Stochastic Systems

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Mean Square Stabilizability of a Class of Nonlinear Stochastic Systems

10.23919/acc.1989.4790625 ◽

1989 ◽

Author(s):

Engin Yaz

Keyword(s):

Stochastic Systems ◽

Mean Square ◽

Nonlinear Stochastic Systems

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Resonant dynamics of nonlinear stochastic systems

1997 European Control Conference (ECC) ◽

10.23919/ecc.1997.7081897 ◽

1997 ◽

Author(s):

A. S. Kovaleva

Keyword(s):

Stochastic Systems ◽

Nonlinear Stochastic Systems ◽

Resonant Dynamics

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Numerical Approximations for Nonlinear Stochastic Systems With Delays

10.21236/ada459437 ◽

2004 ◽

Author(s):

Harold J. Kushner

Keyword(s):

Stochastic Systems ◽

Numerical Approximations ◽

Nonlinear Stochastic Systems

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Self-triggered filter design for a class of nonlinear stochastic systems with Markovian jumping parameters

Nonlinear Analysis Hybrid Systems ◽

10.1016/j.nahs.2021.101022 ◽

2021 ◽

Vol 40 ◽

pp. 101022

Author(s):

Hua Yang ◽

Zidong Wang ◽

Yuxuan Shen ◽

Fuad E. Alsaadi

Keyword(s):

Stochastic Systems ◽

Filter Design ◽

Markovian Jumping Parameters ◽

Nonlinear Stochastic Systems ◽

Markovian Jumping

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Approximate Feedback Linearisation and Stabilisation of Nonlinear Stochastic Systems

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.1089 ◽

2020 ◽

Vol 53 (2) ◽

pp. 4985-4990

Author(s):

Alberto Mellone ◽

Giordano Scarciotti

Keyword(s):

Stochastic Systems ◽

Nonlinear Stochastic Systems

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The J-Orthogonal Square-Root Euler-Maruyama-Based Unscented Kalman Filter for Nonlinear Stochastic Systems

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.032 ◽

2020 ◽

Vol 53 (2) ◽

pp. 2361-2366

Author(s):

Gennady Yu. Kulikov ◽

Maria V. Kulikova

Keyword(s):

Kalman Filter ◽

Stochastic Systems ◽

Unscented Kalman Filter ◽

Square Root ◽

Nonlinear Stochastic Systems

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Frequency-domain criteria for stability of a class of nonlinear stochastic systems

IEEE Transactions on Automatic Control ◽

10.1109/tac.1973.1100286 ◽

1973 ◽

Vol 18 (3) ◽

pp. 266-270 ◽

Author(s):

A. Mahalanabis ◽

S. Purkayastha

Keyword(s):

Frequency Domain ◽

Stochastic Systems ◽

Nonlinear Stochastic Systems

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A Small-Gain Theorem for Nonlinear Stochastic Systems with Inputs and Outputs I: Additive White Noise

SIAM Journal on Control and Optimization ◽

10.1137/15m1044047 ◽

2016 ◽

Vol 54 (5) ◽

pp. 2383-2402 ◽

Author(s):

Jifa Jiang ◽

Xiang Lv

Keyword(s):

White Noise ◽

Stochastic Systems ◽

Nonlinear Stochastic Systems ◽

Small Gain Theorem ◽

Additive White Noise ◽

Inputs And Outputs

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