Gj. Balas et al., OPTIMALLY SCALED H-INFINITY FULL INFORMATION CONTROL SYNTHESIS WITH REAL UNCERTAINTY, Journal of guidance, control, and dynamics, 19(4), 1996, pp. 854-862
An algorithm to synthesize optimal controllers for the scaled H-infini
ty full information problem with real and complex uncertainty is prese
nted. The control problem is reduced to a linear matrix inequality, wh
ich can be solved via a finite dimensional convex optimization, This t
echnique is compared with the optimal scaled H-infinity full informati
on with only complex uncertainty and D-K iteration control design to s
ynthesize controllers for a missile autopilot. Directly including real
parametric uncertainty into the control design results in improved ro
bust performance of the missile autopilot. The controller synthesized
via D-K iteration achieves results similar to the optimal designs.