A simple algorithm for multiobjective linear quadratic Gaussian control tha
t can be used for various structural control applications is presented. Thi
s algorithm synthesizes Pareto optimal trade-off curves, which are plots of
one performance variable constraint versus another. These curves separate
the regions of feasible and infeasible constraints and enable the control d
esigner to minimize one regulated output, such as control force, a structur
al displacement, of an acceleration, while keeping others within specified
constraints. Pareto optimal curves are compared with each other to determin
e preferred locations for actuators and/or sensors. To illustrate the propo
sed methodology, numerical examples of simple lumped-mass shear-beam buildi
ng models subjected to stochastic wind and earthquake loads are considered.
Control is presumably through one or more active tendons placed on various
floors of the structure. The numerical results presented demonstrate the a
pplicability and feasibility for developing optimal multiobjective controll
ers for civil structures.