Title :
A current-mode chaos circuit with return map approximation using supervised learning
Author :
Eguchi, Kei ; Tsukano, Kyoko ; Inoue, Takahiro
Author_Institution :
Dept. of Electr. & Comput. Eng., Kumamoto Univ., Japan
Abstract :
A new current-mode analog chaos circuit is proposed. The proposed circuit is composed of an operation block, a parameter block, and a delay block. The return maps of this circuit are generated in the neuro-fuzzy based operation block. These maps are determined by supervised learning. For the proposed circuit, the dynamics of the learning and the state of the chaos are analyzed by computer simulations. The theoretical analysis is carried out to predict the bifurcation diagrams under the existence of the nonidealities in the piecewise linear approximated return maps. The simulation results showed that the return maps can be realized with the precision of the order of several percent and that different kinds of bifurcation modes can be generated easily
Keywords :
BiCMOS analogue integrated circuits; bifurcation; chaos; circuit analysis computing; current-mode logic; learning (artificial intelligence); neural chips; piecewise-linear techniques; bifurcation diagrams; current-mode analog chaos circuit; neuro-fuzzy based operation block; nonidealities; piecewise linear approximated return maps; return map approximation; supervised learning; Analog computers; CMOS technology; Chaos; Chaotic communication; Circuits; Delay; Design engineering; Signal processing; Supervised learning; Switches;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.552331
