Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,155

The DOI matches its OpenAlex record.

From Chaos to Order - Methodologies, Perspectives and Applications

Guanrong Chen, Xiaoning Dong·1998·World scientific series on nonlinear science, series A

Abstract

Part 1 Prologue - chaos and order ordering chaos organization of the monograph. Part 2 Parametric variation approaches: parametric variation for control of chaos an earlier attempt the OGY method and its variants new development. Part 3 Conventional engineering control approaches: engineering perspectives on control of chaos controlling chaos via external forces open-loop control methods feedback mechanism - a control engineer's perspective controlling discrete-time chaotic systems controlling continuous-time chaotic systems a closer look at Lyapunov-type approach adaptive control of chaotic systems optimal control of chaotic systems robust control of chaotic systems a stochastic control technique new development. Part 4 Other approaches to controlling chaos: intelligent control approaches controlling chaos in DAI systems synchronization and control of chaos unification of synchronization and control new development. Part 5 Some applications of controlling chaos: chaotic synchronization for secure communication chaos and biomedical systems chaos and biochemical systems controlling chaos of laser systems controlling chaos in fluid dynamics new development. Part 6 Controlling chaos - further discussions: general perspectives to probe further toward an integrated and unified framework.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

OpenAlex · 10.1142/9789812798640

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 1,155

Metadata

Authors
Chen, G., & Dong, X.
Venue
World scientific series on nonlinear science, series A
Publisher
World Scientific
Published
1998-01-01
ISSN
1793-1010 (ISSN-L)
OpenAlex
W1496745782
Cited by
1,155
References
0
FWCI
7.88
Type
book
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: From Chaos to Order - Methodologies, Perspectives and Applications. https://app.cochat.ai/papers/10.1142/9789812798640
The paper
Chen, G., & Dong, X. (1998). From Chaos to Order - Methodologies, Perspectives and Applications. World scientific series on nonlinear science, series A. https://doi.org/10.1142/9789812798640

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.