In this work we specifically examine those bifurcations which give rise to system trajectories that leave the domain of attraction of a desired system state.

The system of equations can then be used to find the smallest critical disturbance in physical, biological or other systems, or to robustly optimise design ...

This work deals with numerical methods of parameter optimization for asymptotically stable systems. We formulate a special mathematical programming problem that ...

Robust Optimisation with Normal Vectors on Critical Manifolds of Disturbance-Induced Stability Loss. Wirth, Benedikt; Gerhard, Johannes; Marquardt, Wolfgang.

Robust Optimisation with Normal Vectors on Critical Manifolds of Disturbance-Induced Stability Loss. Benedikt Wirth; Johannes Gerhard; Wolfgang Marquardt.

Robust Optimisation with Normal Vectors on Critical Manifolds of Disturbance-Induced Stability Loss · Engineering, Mathematics. Journal of nonlinear science.

Robust Optimisation with Normal Vectors on Critical Manifolds of Disturbance-Induced Stability Loss. Journal of Nonlinear Science, Vol. 21, No. 1 | 24 August ...

Robust Optimisation with Normal Vectors on Critical Manifolds of Disturbance-Induced Stability Loss. Authors. Benedikt Wirth · Johannes Gerhard · Wolfgang ...

Robust optimisation with normal vectors on critical manifolds of disturbance-induced stability loss. J. Nonlinear Sci, 21 (2011), pp. 57-92. CrossRef View in ...

Robust optimisation with normal vectors on critical manifolds of disturbance-induced stability loss. J. Nonlinear Sci., 21(1):57–92, 2011. Current Cluster ...