Input shaper design in convex optimization framework with frequency domain constraints

This paper demonstrates a method of introducing frequency domain constraints into the design of input shapers within a convex optimization framework. The magnitude bounds in the frequency domain are approximated to produce a set of linear constraints at discrete frequency points. The error bounds due to such approximation are easy to compute. This technique is applied to automated highway systems by including ride quality as an explicit frequency domain constraint.