Identification of Nonlinear Systems Using Dynamical Neural Networks: A Singular Perturbation Approach

Artificial Neural Nets and Genetic Algorithms ◽

10.1007/978-3-7091-7533-0_15 ◽

1993 ◽

pp. 93-100

Author(s):

George A. Rovithakis ◽

Manolis A. Christodoulou

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Singular Perturbation ◽

Perturbation Approach ◽

Dynamical Neural Networks

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Robust regulation of a class of nonlinear systems using singular perturbation approach

2003 European Control Conference (ECC) ◽

10.23919/ecc.2003.7085061 ◽

2003 ◽

Author(s):

R. Amjadifard ◽

M. J. Yazdanpanah ◽

M. T. H. Beheshti

Keyword(s):

Nonlinear Systems ◽

Singular Perturbation ◽

Perturbation Approach ◽

Robust Regulation

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Adaptive control design using delayed dynamical neural networks for a class of nonlinear systems

Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164) ◽

10.1109/robot.2001.933151 ◽

2002 ◽

Author(s):

Wen-Shyong Yu ◽

Gwo-Chuan Wang

Keyword(s):

Neural Networks ◽

Adaptive Control ◽

Nonlinear Systems ◽

Control Design ◽

Dynamical Neural Networks

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Tracking Control of PWM Non-affine Nonlinear Systems via Singular Perturbation Approach∗∗This work was supported by Russian Foundation for Basic Research (RFBR) under grant no.14-08-01004-a.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.09.297 ◽

2015 ◽

Vol 48 (11) ◽

pp. 854-859

Author(s):

Valery D. Yurkevich

Keyword(s):

Nonlinear Systems ◽

Singular Perturbation ◽

Tracking Control ◽

Basic Research ◽

Perturbation Approach ◽

Affine Nonlinear Systems

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A Singular Perturbation Approach to Pitch-Loop Design

10.23919/acc.1990.4791044 ◽

1990 ◽

Author(s):

Eugene M. Cliff

Keyword(s):

Singular Perturbation ◽

Perturbation Approach ◽

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Design of observers for continuous-time nonlinear systems using neural networks

Proceedings of the 2004 American Control Conference ◽

10.23919/acc.2004.1383829 ◽

2004 ◽

Author(s):

A. Alessandri ◽

C. Cervellera ◽

A.F. Grassia ◽

M. Sanguineti

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Continuous Time

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Robustness and Perturbation Analysis of a Class of Nonlinear Systems with Applications to Neural Networks

1993 American Control Conference ◽

10.23919/acc.1993.4793432 ◽

1993 ◽

Author(s):

Kaining Wang ◽

Anthony N. Michel

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Perturbation Analysis

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Adaptive Neural Networks Control for Markov Jump Nonlinear Systems with Nonstrict-Feedback Form and Uncertain Transition Rate

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189547 ◽

2020 ◽

Author(s):

Boqiang Cao ◽

Xiaobing Nie

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Transition Rate ◽

Markov Jump ◽

Feedback Form ◽

Adaptive Neural Networks

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Limited rate control with a singular perturbation approach

1997 European Control Conference (ECC) ◽

10.23919/ecc.1997.7082121 ◽

1997 ◽

Author(s):

A. Cavallo ◽

G. De Maria

Keyword(s):

Singular Perturbation ◽

Rate Control ◽

Perturbation Approach

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Passivity feedback equivalence of nonlinear systems via neural networks approximation

1999 European Control Conference (ECC) ◽

10.23919/ecc.1999.7099737 ◽

1999 ◽

Author(s):

R. Castro-Linares ◽

Wen Yu ◽

A. S. Poznyak

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Feedback Equivalence

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Event-triggered adaptive output-feedback neural-networks control for saturated strict-feedback nonlinear systems in the presence of external disturbance

Nonlinear Dynamics ◽

10.1007/s11071-021-06351-0 ◽

2021 ◽

Author(s):

Nassira Zerari ◽

Mohamed Chemachema

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Output Feedback ◽

External Disturbance ◽

Feedback Neural Networks ◽

Event Triggered ◽

Strict Feedback

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