Design of linear multivariable systems for stability under large parameter uncertainty

摘要: Summary The Sequential Return Difference method for the stabilization of linear multivariable systems is first extended case perfectly known plant. Lower triangular controllers are introduced which prevent need constraints on maximum allowed control effort. This approach then to cope with large plant-parameter uncertainty where a systematic sequential-design technigue presented guarantees system stability whole range. Under certain conditions, this technique also provides means by it possible convert nonminimum-phase problem minimum-phase one, thus allowing application gain that reduce sensitivity transference parameter uncertainty. A synthesis based principle; under and meets pre-specified requirements performance at low frequencies.