1999
DOI: 10.1109/9.751352
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Design of strictly positive real systems using constant output feedback

Abstract: In this paper, the authors present a linear matrix inequality (LMI) approach to the strictly positive real (SPR) synthesis problem: find an output feedback K K K such that the closed-loop system T(s) T(s) T(s) is SPR. The authors establish that if no such constant output feedback K K K exists, then no dynamic output feedback with a proper transfer matrix exists to make the closed-loop system SPR. The existence of K K K to guarantee the SPR property of the closed-loop system is used to develop an adaptive contr… Show more

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Cited by 144 publications
(85 citation statements)
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“…where C s = S 1 C and ⌦ is defined as in Assumption 1E-(b), then (20) holds. PROOF Using C s = S 1 C the inequality (20) can be written (43) satisfies (20).…”
Section: Finding Lmentioning
confidence: 99%
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“…where C s = S 1 C and ⌦ is defined as in Assumption 1E-(b), then (20) holds. PROOF Using C s = S 1 C the inequality (20) can be written (43) satisfies (20).…”
Section: Finding Lmentioning
confidence: 99%
“…Solving (34) for X 22 also requires Q, although this equation places no restriction on how Q > 0 is selected. However, we must choose an appropriate Q which guarantees the feasibility of the LMI in (18) by satisfying (20), as given by the following theorem.…”
Section: Finding Lmentioning
confidence: 99%
See 1 more Smart Citation
“…Assumption 2f can be considered without loss of generality as the case of wide systems p < m holds by duality. The case of square systems has been given in Reference [20] and is discussed in Section IV.…”
Section: Control Problem Formulationmentioning
confidence: 99%
“…7 is positive real and passive. An interconnection containing a passive subsystem (linear or not) with a strictly proper, strictly positive real one, is always closed-loop stable [39][40][41][42]. Furthermore, based on Eqs.…”
Section: Second-order System Modulementioning
confidence: 99%