Implementing Memristor Based Chaotic Circuits

By Bharathwaj Muthuswamy. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 2010

570 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Electrical and Electronic Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/8a9e58cc0f7ec6d647f57e5a3bd455cde16933ee

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Quan Xu
2. Yihua Hu
3. Bocheng Bao
4. Tao Jiang
5. Huagan Wu
6. Mo Chen

In Electrical and Electronic Engineering

1. Sundarapandian Vaidyanathan
2. Quan Xu
3. Yihua Hu
4. Bocheng Bao
5. Christos K. Volos
6. Viet-Thanh Pham
7. Trung Phuoc Le
8. Tao Jiang

In Statistical and Nonlinear Physics

1. Sundarapandian Vaidyanathan
2. Christos K. Volos
3. Viet-Thanh Pham
4. Trung Phuoc Le
5. V. Vu
6. Quan Xu
7. Yihua Hu
8. Bocheng Bao

Citations in the corpus

• A Memristor-Based Hyperchaotic System with Hidden Attractors: Dynamics, Synchronization and Circuital Emulating (2015, background): “Similar to other published papers [54-56], its memductance is given as: Based on this memristor, a four-dimensional system is introduced as follows: where a , b are real parameters, and W ( φ ) is the memductance as defined in (6).”
• Coexisting infinitely many attractors in active band-pass filter-based memristive circuit (2016, methodology): “Figure 1b displays an equivalent circuit of the ideal active voltage-controlled memristor implemented with an electronic circuit via op-amp integrators and analog multipliers [24,44].”