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- Pooja Rani Sharma, Amit Kumar Sharma, Manish Dev Shrimali, Awadhesh Prasad
- Physical review. E, Statistical, nonlinear, and…
- 2011

We propose a general strategy to stabilize the fixed points of nonlinear oscillators with augmented dynamics. By using this scheme, either the unstable fixed points of the oscillatory system or a new fixed point of the augmented system can be stabilized. The Lyapunov exponents are used to study the dynamical properties. This scheme is illustrated with a… (More)

- Guoguang He, Manish Dev Shrimali, Kazuyuki Aihara
- Neural Networks
- 2008

The chaotic neural network constructed with chaotic neurons exhibits rich dynamic behaviour with a nonperiodic associative memory. In the chaotic neural network, however, it is difficult to distinguish the stored patterns in the output patterns because of the chaotic state of the network. In order to apply the nonperiodic associative memory into information… (More)

- Pooja Rani Sharma, Manish Dev Shrimali, Awadhesh Prasad, Nikolay V. Kuznetsov, Gennady A. Leonov
- I. J. Bifurcation and Chaos
- 2015

- Pooja Rani Sharma, Prateek Somani, Manish Dev Shrimali
- 2013

In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit:

We study the dynamics of nonlinear oscillators indirectly coupled through a dynamical environment or a common medium. We observed that this form of indirect coupling leads to synchronization and phase-flip transition in periodic as well as chaotic regime of oscillators. The phase-flip transition from in- to anti-phase synchronization or vise-versa is… (More)

- Amit Kumar Sharma, Manish Dev Shrimali
- Physical review. E, Statistical, nonlinear, and…
- 2012

We study the dynamics of nonlinear oscillators under mean-field diffusive coupling. We observe that this form of coupling leads to amplitude death via a synchronization transition in the parameter space of the coupling strength and mean-field control parameter. A general criterion for amplitude death for any given dynamical system with mean-field diffusion… (More)

- Swarup Poria, Manish Dev Shrimali, Sudeshna Sinha
- Physical review. E, Statistical, nonlinear, and…
- 2008

We investigate the spatiotemporal dynamics of a lattice of coupled chaotic maps whose coupling connections are dynamically rewired to random sites with probability p ; namely, at any instance of time, with probability p a regular link is switched to a random one. In a range of weak coupling, where spatiotemporal chaos exists for regular lattices (i.e., for… (More)

- Manish Dev Shrimali, Awadhesh Prasad, Ramakrishna Ramaswamy, Ulrike Feudel
- I. J. Bifurcation and Chaos
- 2008

In systems that exhibit multistability, namely those that have more than one coexisting attractor, the basins of attraction evolve in specific ways with the creation of each new attractor. These multiple attractors can be created via different mechanisms. When an attractor is formed via a saddle-node bifurcation, the size of its basin increases as a… (More)

- Amit Kumar Sharma, Manish Dev Shrimali, Awadhesh Prasad, Ram Ramaswamy, Ulrike Feudel
- Physical review. E, Statistical, nonlinear, and…
- 2011

We study the dynamics of oscillators that are coupled in relay; namely, through an intermediary oscillator. From previous studies it is known that the oscillators show a transition from in-phase to out-of-phase oscillations or vice versa when the interactions involve a time delay. Here we show that, in the absence of time delay, relay coupling through… (More)

- Umesh Kumar Verma, Amit Kumar Sharma, Neeraj Kumar Kamal, Juergen Kurths, Manish Dev Shrimali
- Scientific reports
- 2017

We report the occurrence of an explosive death transition for the first time in an ensemble of identical limit cycle and chaotic oscillators coupled via mean-field diffusion. In both systems, the variation of the normalized amplitude with the coupling strength exhibits an abrupt and irreversible transition to death state from an oscillatory state and this… (More)