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2012
DOI: 10.1016/j.jfranklin.2012.06.007
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Guaranteed cost D-stabilization and H∞ D-stabilization for linear discrete time-delay systems

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Cited by 7 publications
(17 citation statements)
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“…Using the change basis matrix given in Proposition 2, it is possible to develop rules for the direct construction of the matrices mentioned in step 2) of section III-A,Ǎ m,d , C m,d , and also the transformed gainsǨ m,τ as function of α, r, and the respective matrices in (1) with (5). As presented in step 2) of section III-A, matrixĎ e,d is already defined, and additionally considering (21) we have matricesB d =B(d, α, r) andB e,d =B e (d, α, r).…”
Section: Auxiliary Systemmentioning
confidence: 99%
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“…Using the change basis matrix given in Proposition 2, it is possible to develop rules for the direct construction of the matrices mentioned in step 2) of section III-A,Ǎ m,d , C m,d , and also the transformed gainsǨ m,τ as function of α, r, and the respective matrices in (1) with (5). As presented in step 2) of section III-A, matrixĎ e,d is already defined, and additionally considering (21) we have matricesB d =B(d, α, r) andB e,d =B e (d, α, r).…”
Section: Auxiliary Systemmentioning
confidence: 99%
“…In case of systems with delay in the states, D-stability analysis and H ∞ guaranteed cost characterization cannot be directly applied mainly because of the multiple poles introduced by the delay. Only a few results are available in the literature to characterize the regional pole location [5], [6], [3]. In this note we revisit the problems of robust D(α, r)-stability [5], [7], [8] analysis and synthesis of controller taking into account the minimization of the H ∞ guaranteed cost for the class of linear uncertain time-invariant discrete-time systems with (constant and bounded) uncertain delay in the states.…”
Section: Introductionmentioning
confidence: 99%
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“…[20][21][22][23]. Because consensus problems for multi-agent systems focus on state errors among agents and control problems for isolated systems focus on states, these approaches in [20][21][22][23] cannot be directly used to deal with guaranteed cost consensus problems. To the best of our knowledge, there are few literatures to investigate guaranteed cost consensus problems for multi-agent systems.…”
Section: Introductionmentioning
confidence: 99%