A new neuro-fuzzy-fractal approach for adaptive model-based control of non-linear dynamic systems: the case of controlling aircraft dynamics

FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315) ◽

10.1109/fuzzy.1999.790121 ◽

1999 ◽

Author(s):

P. Melin ◽

O. Castillo

Keyword(s):

Dynamic Systems ◽

Adaptive Model ◽

Model Based Control ◽

Fractal Approach ◽

Linear Dynamic Systems ◽

Aircraft Dynamics ◽

Linear Dynamic ◽

Model Based ◽

Neuro Fuzzy ◽

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A new method for adaptive model-based control of non-linear dynamic plants using a neuro-fuzzy-fractal approach

Soft Computing ◽

10.1007/s005000000069 ◽

2001 ◽

Vol 5 (2) ◽

pp. 171-177 ◽

Author(s):

P. Melin ◽

O. Castillo

Keyword(s):

Adaptive Model ◽

Model Based Control ◽

Fractal Approach ◽

Linear Dynamic ◽

Model Based ◽

Neuro Fuzzy ◽

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INTELLIGENT ADAPTIVE MODEL-BASED CONTROL OF ROBOTIC DYNAMIC SYSTEMS WITH A NEW HYBRID NEURO-FUZZY-FRACTAL APPROACH

Intelligent Techniques and Soft Computing in Nuclear Science and Engineering ◽

10.1142/9789812792631_0043 ◽

2000 ◽

Author(s):

OSCAR CASTILLO ◽

PATRICIA MELIN

Keyword(s):

Dynamic Systems ◽

Adaptive Model ◽

Model Based Control ◽

Fractal Approach ◽

Model Based ◽

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Adaptive model-based control of robotic dynamic systems with a new neuro-fuzzy-fractal approach

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339) ◽

10.1109/ijcnn.1999.830839 ◽

2003 ◽

Author(s):

O. Castillo ◽

P. Melin

Keyword(s):

Dynamic Systems ◽

Adaptive Model ◽

Model Based Control ◽

Fractal Approach ◽

Model Based ◽

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Design of adaptive model predictive control for a class of uncertain non-linear dynamic systems: stability, convergence, and robustness analysis

IET Control Theory and Applications ◽

10.1049/iet-cta.2019.0061 ◽

2019 ◽

Vol 13 (15) ◽

pp. 2376-2386

Author(s):

Hossein Bolandi ◽

Saman Saki

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Dynamic Systems ◽

Robustness Analysis ◽

Adaptive Model ◽

Linear Dynamic Systems ◽

Linear Dynamic ◽

Adaptive Model Predictive Control

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Adaptive Model-Based Control of Non-Linear Dynamical Systems with a Neuro-Fuzzy-Genetic Approach

International Journal of Smart Engineering System Design ◽

10.1080/10255810210626 ◽

2002 ◽

Vol 4 (1) ◽

pp. 41-47 ◽

Author(s):

Patricia Melin ◽

Oscar Castillo

Keyword(s):

Dynamical Systems ◽

Adaptive Model ◽

Genetic Approach ◽

Linear Dynamical Systems ◽

Model Based Control ◽

Model Based ◽

Neuro Fuzzy ◽

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Calculation of the Volterra kernels of non-linear dynamic systems using an artificial neural network

Biological Cybernetics ◽

10.1007/bf00202758 ◽

1994 ◽

Vol 71 (3) ◽

pp. 187-195 ◽

Author(s):

Jonathan Wray ◽

Gary G. R. Green

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Dynamic Systems ◽

Volterra Kernels ◽

Linear Dynamic Systems ◽

Linear Dynamic ◽

Artificial Neural

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On uncontrollable non-linear dynamic systems: analytic solutions for integral manifolds

2003 IEEE International Workshop on Workload Characterization (IEEE Cat No 03EX775) PHYCON-03 ◽

10.1109/phycon.2003.1237093 ◽

2004 ◽

Author(s):

J.D. Stefanovski ◽

G.M. Dimirovski

Keyword(s):

Dynamic Systems ◽

Analytic Solutions ◽

Linear Dynamic Systems ◽

Linear Dynamic ◽

Integral Manifolds ◽

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A nonparametric method of identification of vibration damping in non-linear dynamic systems

International Journal of Solids and Structures ◽

10.1016/0020-7683(83)90014-8 ◽

1983 ◽

Vol 19 (7) ◽

pp. 601-609 ◽

Author(s):

Maciej Kulsiewicz

Keyword(s):

Dynamic Systems ◽

Vibration Damping ◽

Nonparametric Method ◽

Linear Dynamic Systems ◽

Linear Dynamic ◽

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Sensitivity Analysis and Learning of Non-Linear Dynamic Systems by Two Dual Signal-Flow-Graph Approaches

Neural Nets WIRN Vietri-99 - Perspectives in Neural Computing ◽

10.1007/978-1-4471-0877-1_5 ◽

1999 ◽

pp. 81-103

Author(s):

Paolo Campolucci

Keyword(s):

Sensitivity Analysis ◽

Dynamic Systems ◽

Signal Flow Graph ◽

Linear Dynamic Systems ◽

Signal Flow ◽

Linear Dynamic ◽

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Analytical-numerical method of analysis and behavioral modelling of non-linear dynamic systems

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/643/1/012111 ◽

2019 ◽

Vol 643 ◽

pp. 012111

Author(s):

Y A Bychkov ◽

E B Solovyeva ◽

S V Scherbakov

Keyword(s):

Numerical Method ◽

Dynamic Systems ◽

Linear Dynamic Systems ◽

Linear Dynamic ◽

Behavioral Modelling

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