title: Linear Augmentation for Stabilizing Stationary Solutions: Potential Pitfalls and Their Application.
abstract: Linear augmentation has recently been shown to be effective in targeting desired stationary solutions, suppressing bistablity, in regulating the dynamics of drive response systems and in controlling the dynamics of hidden attractors. The simplicity of the procedure is the main highlight of this scheme but questions related to its general applicability still need to be addressed. Focusing on the issue of targeting stationary solutions, this work demonstrates instances where the scheme fails to stabilize the required solutions and leads to other complicated dynamical scenarios. Examples from conservative as well as dissipative systems are presented in this regard and important applications in dissipative predator-prey systems are discussed, which include preventative measures to avoid potentially catastrophic dynamical transitions in these systems.
authors.affiliation: Nonlinear Dynamics and Time Series Analysis Research Group, Max-Planck-Institute for the Physics of Complex Systems, Nöthnitzer Str. 38, 01187 Dresden, Germany.
authors.forename: Rajat
authors.initials: R
authors.lastname: Karnatak
mesh_terms: D000818:Animals; D020387:Food Chain; D016014:Linear Models; D008954:Models, Biological; D017711:Nonlinear Dynamics; D011157:Population Dynamics; D011235:Predatory Behavior; D013597:Systems Analysis; D049490:Systems Biology; D013598:Systems Theory