Given a linear plant and a linear model, the partial model matching co
nsists of designing a stabilizing compensator so as to match several f
irst Markov parameters of the model. Using a recently established solv
ability condition, all such compensators are parametrized. The degrees
of freedom can then be used to optimize the system performance. (C) 1
997 Elsevier Science Ltd.