  Control of multistable dynamical system has important applications, from
physics to biology. Here, we attack this problem from the perspective of local
sensitivity analysis. We develop sensitivity rules to control properties of
continuous-time multistable dynamics with simple attractors, namely, the
relative size and depth of their basins of attraction. Our parameter control
signal is computationally cheap and provides counter-intuitive information
about the sensitive parameters to be manipulated in an experimental setting.
