Partial-state feedback multivariable MRAC and reduced-order designs

This paper develops a new model reference adaptive control (MRAC) framework using partial-state feedback for solving multivariable output tracking problem. The developed MRAC scheme has full capability to deal with plant uncertainties and desired flexibility combine the advantages of full-state MRAC. With such scheme, plant-model matching condition is achievable as an or state design. A stable based on LDS decomposition high-frequency gain matrix, which guarantees closed-loop stability asymptotic tracking. proposed not only expands existing family MRAC, but also provides features system, including additional design capacity. Based its flexibility, minimal-order presented, reduces adaptation complexity relaxes information requirement, compared schemes. New results are presented matching, error model, law analysis. simulation study linearized aircraft conducted demonstrate effectiveness scheme.