1991
DOI: 10.1016/0005-1098(91)90130-t
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Frequency domain analysis and robust control design for an ideal flexible beam

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Cited by 46 publications
(18 citation statements)
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“…one can actually compute the optimal controller without going through any approximations on the infinite-dimensional plant. For some special types of weights this theory has been applied to the robust control of such distributed systems as flexible beams and abstract models of an unstable aircraft (plant with a time delay), (Lenz et al 1991, Enns et al . 1992.…”
mentioning
confidence: 99%
“…one can actually compute the optimal controller without going through any approximations on the infinite-dimensional plant. For some special types of weights this theory has been applied to the robust control of such distributed systems as flexible beams and abstract models of an unstable aircraft (plant with a time delay), (Lenz et al 1991, Enns et al . 1992.…”
mentioning
confidence: 99%
“…Research is now proceeding along these directions in our new AFOSR contract. Moreover, we are very interested in working out more benchmark examples in addition to the flight control problem (351 and flexible beam problem [70] to which we alluded above. A key part of the implementation will be to have an efficient way of generating sub-optimal finite dimensional compensators for such problems.…”
Section: P(s) = E-j As +mentioning
confidence: 99%
“…(This is the most general H°-optimization problem.) The procedure seems to be numerically robust as evidenced by its implementation at the Systems Research Center of Honeywell, and its application to a number of distributed plant models including a flexible beam [70], and an unstable delay system associated with the flight control of. the X-29 [35].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…research, we have used these techniques to synthesize controllers for several types of flexible structures [70], and an unstable delay system derived from the flight control of the X-29 [35).…”
Section: Hi Optimization Of Distributed Systemsmentioning
confidence: 99%