Controlling the chaotic dynamics by using approximated system equations obtained by the genetic programming

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Volumn E84-A, Issue 9, 2001, Pages 2118-2127

  Ikeda, Yoshikazu ^a   Tokinaga, Shozo ^b  

^a SHINSHU UNIVERSITY   (Japan)

^b KYUSHU UNIVERSITY   (Japan)

Author keywords

Chaotic dynamics; Control of chaos; Genetic programming; Identification

Indexed keywords

APPROXIMATION THEORY; INVERSE PROBLEMS; LINEARIZATION; MATHEMATICAL MODELS; MATHEMATICAL PROGRAMMING; NONLINEAR CONTROL SYSTEMS; PERTURBATION TECHNIQUES; TIME SERIES ANALYSIS; TREES (MATHEMATICS); UNCERTAIN SYSTEMS;

CHAOTIC DYNAMICS; GENETIC PROGRAMMING;

CHAOS THEORY;

EID: 0035444422     PISSN: 09168508     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. Controlling chaos
2. Multiparameter control of chaos
3. From high dimensional chaos to stable periodic orbits: The structure of parameter space
4. Identification of chaotic dynamics by using the genetic programming and its applications
5. Approximation of chaotic dynamics by using smaller number of data based upon the genetic programming and its applications
6. An evolutionary approach to the control of chaotic economic dynamics
7. Evalution and subsumption using genetic programming
8. Automatic programming of robots by using genetic programming
9. Genetic programming in C++: Implementation issues
10. A two-dimensional mapping with a strange attractor
11. Discrete population models and chaos
12. Detecting strange attractors in turbulence
13. Continuous control of chaos by self-controlling feedback
14. Limitation of delayed-feedback control in nonlinear discrete-time system
15. Controlling chaotic discrete-time systems via nonlinear feedback