Nonlinear Dynamical Control Systems

1990 ◽  
Author(s):  
Henk Nijmeijer ◽  
Arjan van der Schaft
Keyword(s):  
Control Systems ◽  
Nonlinear Dynamical ◽  
Dynamical Control

Nonlinear Dynamical Control Systems (H. Nijmeijer and A. J. van der Schaft)

SIAM Review ◽  
1991 ◽  
Vol 33 (2) ◽  
pp. 292-294
Author(s):  
Anthony M. Bloch
Keyword(s):  
Control Systems ◽  
Nonlinear Dynamical ◽  
Dynamical Control

Three Mathematica supported proposals for the discretization of nonlinear dynamical control systems

2005 ◽  
Vol 63 (5-7) ◽  
pp. e617-e628 ◽  
Author(s):  
Jesús Rodríguez-Millán ◽  
Carla González
Keyword(s):  
Control Systems ◽  
Nonlinear Dynamical ◽  
Dynamical Control

A COMPOSITIONAL METHOD USING AN EVOLUTIONARY ALGORITHM FOR FINDING FUZZY RULES IN 3-LAYERED HIERARCHICAL FUZZY STRUCTURE

2009 ◽  
Vol 08 (04) ◽  
pp. 467-485 ◽  
Author(s):  
J. ZAJACZKOWSKI ◽  
B. VERMA
Keyword(s):  
Evolutionary Algorithm ◽  
Control Systems ◽  
Initial Conditions ◽  
Fuzzy Rules ◽  
Large Set ◽  
Multi Objective ◽  
Wide Range ◽  
Dynamical Control ◽  
Better Than ◽  
Compositional Method

This paper presents a novel compositional method for finding fuzzy rules in a three-layered hierarchical fuzzy structure. The proposed method incorporates a multi-objective evolutionary algorithm and a large set of initial conditions, including dynamical conditions of the system under investigation. The proposed method is focused on handling the large set of initial conditions by a multi-objective evolutionary algorithm and it can be applied to a wide range of dynamical control systems in robotics. The method has been evaluated on a dynamical system such as the inverted pendulum. The experimental results and analysis showed that the proposed method is much better than the existing methods such as amalgamation and single objective evolutionary algorithm based methods.

On the Observability of Semilinear Fuzzy Dynamical Control Systems

2009 ◽  
pp. 611-619
Author(s):  
Young Chel Kwun ◽  
Eun Hye Choi ◽  
Jong Seo Park ◽  
Jin Han Park
Keyword(s):  
Control Systems ◽  
Dynamical Control
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