Business-critical workloads--web servers, mail servers, app servers, etc.--are increasingly
hosted in virtualized data enters acting as Infrastructure-as-a-Service clouds (cloud data …

This tutorial review presents an overview of the achievements and some present research
activities in the field of state space based methods for nonlinear time-series analysis. In …

Dynamical networks are important models for the behaviour of complex systems, modelling
physical, biological and societal systems, including the brain, food webs, epidemic disease …

Parameter estimation for chaotic systems is an important issue in nonlinear science and has
attracted increasing interests from various research fields, which could be essentially …

In this paper, through numerical studies, we explore a new methodology for chaos
synchronization via a hybrid (generalized plus identical) synchronization. An arbitrary signal …

Generalized projective synchronization (GPS) as a deeply influential chaos synchronization
has always attracted lots of attention. However, plenty of traditional control methods do not …

Through the development of an exact path integral for use in transferring information from
observations to a model of the observed system, the author provides a general framework …

Reiterated measurements of an experimentally accessible quantity of a dynamical system
result in a time series, and one may wonder, what this information can tell about the system …

In this paper, an adaptive procedure to the problem of synchronization and parameters
identification for chaotic neural networks with time-varying delay is introduced by combining …

This paper is concerned with the parameter identification problem for chaotic dynamic
systems. An improved particle swarm optimization (IPSO), which is a novel evolutionary …