Controlling Chaos
By Toby Neighbors. 2016
1,999 citations recorded by the source corpus.
Subfields: Communication, Political Science and International Relations, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/e2382c3e994beacdacd87fd9bd618d0ec623aec2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Ju H. Park
- Awadhesh Prasad
- Sajad Jafari
- Ulrike Feudel
- Tomasz Kapitaniak
- Gennady A. Leonov
- Alexander N. Pisarchik
- Dawid Dudkowski
In Political Science and International Relations
- Ju H. Park
- Awadhesh Prasad
- Sajad Jafari
- Jairo Alonso Giraldo
- Ulrike Feudel
- Alvaro A. Cárdenas
- Justin Ruths
- Henrik Sandberg
In Sociology and Political Science
- Ju H. Park
- Awadhesh Prasad
- Sajad Jafari
- Ying-Cheng Lai
- Ulrike Feudel
- Tomasz Kapitaniak
- Gennady A. Leonov
- Alexander N. Pisarchik
Citations in the corpus
- Control of multistability (2014, methodology): “Indeed, chaos control [209] and tracking technique [210] have been successfully applied to suppress cardiac alternance and thus stabilize the cardiac rhythm in the period-1 state [211].”
- Letter to the Editor: Adaptive control for modified projective synchronization of a four-dimensional chaotic system with uncertain parameters (2008, methodology): “Many methods and techniques for handling chaos control and synchronization of various chaotic systems have been developed, such as PC method [18], OGY method [12], time-delay feedback approach [17], feedback approach [6,9], backstepping design technique [23], adaptive method [4,5,10,13,22], linear c”
- Hidden attractors in dynamical systems (2016, methodology): “[176] C. Grebogi, E. Kostelich, E. Ott, J. A. Yorke, Multi-dimensioned intertwined basin boundaries: basin structure of the kicked double rotor, Physica D 25 (1987) 347.”
- Data Based Identification and Prediction of Nonlinear and Complex Dynamical Systems (2016, background): “The field of controlling chaos in nonlinear dynamical systems has been active for more than two decades since the seminal work of Ott, Grebogi, and Yorke [463].”
- Limiting the Impact of Stealthy Attacks on Industrial Control Systems (2016, background): “Similarly, some properties of the physical system, such as systems vulnerable to zero-dynamics attacks [61], unbounded systems [62], and highly non-linear or chaotic systems [48], can also prevent us from detecting attacks.”