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ITHEA Classification Structure > F. Theory of Computation  > F.1 COMPUTATION BY ABSTRACT DEVICES  > F.1.1 Models of Computation 
SIMULTANEOUS CONTROL OF CHAOTIC SYSTEMS USING RBF NETWORKS
By: Castellanos et al. (3981 reads)
Rating: (1.00/10)

Abstract: Chaos control is a concept that recently acquiring more attention among the research community, concerning the fields of engineering, physics, chemistry, biology and mathematic. This paper presents a method to simultaneous control of deterministic chaos in several nonlinear dynamical systems. A radial basis function networks (RBFNs) has been used to control chaotic trajectories in the equilibrium points. Such neural network improves results, avoiding those problems that appear in other control methods, being also efficient dealing with a relatively small random dynamical noise.

Keywords: Neural Network, Radial basis function, Backpropagation, Chaotic Dynamic Systems, Control Feedback Methods.

ACM Classification Keywords: F.1.1 Models of Computation: Self-modifying machines (neural networks); F.1.2 Modes of Computation: Alternation and nondeterminism; G.1.7 Ordinary Differential Equations: Chaotic systems;

Link:

SIMULTANEOUS CONTROL OF CHAOTIC SYSTEMS USING RBF NETWORKS

Angel Castellanos, Rafael Gonzalo, Ana Martinez

http://www.foibg.com/ibs_isc/ibs-02/IBS-02-p04.pdf

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F.1.1 Models of Computation
article: ALGORITHMIZATION PROCESS FOR FRACTAL ANALYSIS IN THE CHAOTIC DYNAMICS OF ... · INTELLIGENT TRADING SYSTEMS · AN ARCHITECTURE FOR REPRESENTING BIOLOGICAL PROCESSES BASED ON NETWORKS... · Polynomial Regression using a Perceptron with Axo-axonic Connections · ACCOUNTING IN THEORETICAL GENETICS · A NEW METHOD FOR THE BINARY ENCODING AND HARDWARE IMPLEMENTATION OF METABOLIC P · GENETIC BASED SPOT DETECTION METHOD IN TWO-DIMENSIONAL ELECTROPHORESIS IMAGES · Self-Organizing Architectural design based on Morphogenetic Programming · PRION CRYSTALIZATION MODEL AND ITS APPLICATION TO RECOGNITION PATTERN · POLYNOMIAL APPROXIMATION USING PARTICLE SWARM OPTIMIZATION OF LINEAR ... · MULTIPLE-MODEL DESCRIPTION AND STRUCTURE DYNAMICS ANALYSIS OF ACTIVE MOVING... · COMPUTATIONAL MODEL FOR SERENDIPITY · STRING MEASURE APPLIED TO STRING SELF-ORGANIZING MAPS AND NETWORKS OF ... · CLASSIFICATION OF DATA TO EXTRACT KNOWLEDGE FROM NEURAL NETWORKS · SIMULTANEOUS CONTROL OF CHAOTIC SYSTEMS USING RBF NETWORKS · TIMED TRANSITION AUTOMATA AS NUMERICAL PLANNING DOMAIN · STATIC ANALYSIS OF USEFULNESS STATES IN TRANSITION P SYSTEMS · GENERALIZING OF NEURAL NETS: FUNCTIONAL NETS OF SPECIAL TYPE · AUTOMATA–BASED METHOD FOR SOLVING SYSTEMS OF LINEAR CONSTRAINTS IN {0,1} · FILTERED NETWORKS OF EVOLUTIONARY PROCESSORS* · NEURAL CONTROL OF CHAOS AND APLICATIONS · SOLVING A DIRECT MARKETING PROBLEM BY THREE TYPES OF ARTMAP NEURAL NETWORKS ·
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