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Paul, S. and Mitra, A. (2017) Generating Efficient Techniques for Information Extraction and Processing Using Cellular Automata. In: Bio-Inspired Computing for Information Retrieval Applications, IGI Global, Hershey, 204-228.
https://doi.org/10.4018/978-1-5225-2375-8.ch008

has been cited by the following article:

• TITLE: Control Chaos of a Unidirectionally Traffic Coupled Map Lattice Model

  AUTHORS: Yaling Fang

  KEYWORDS: Traffic Flow Model, Coupled Map Lattice Model, Spatiotemporal Chaos, Feedback Control

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.9 No.10, October 27, 2021

  ABSTRACT: Spatiotemporal chaos is studied by using the unidirectional traffic coupled lattice model with hyperbolic tangent local map. The coupled map lattice (CML) model can simulate the complex traffic flow phenomenon which is similar to the traditional traffic flow model. The nonlinear feedback method is used to study the control of the chaotic system of the unidirectionally traffic coupled map lattice model. The stability of spatiotemporal chaos in the coupled map lattice is realized. The results of numerical simulation show that there is a relationship between control results and control parameters when controlling spatiotemporal chaos to a uniform stable state in a certain phase space compression parameter region.