“…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%
“…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. The D(α, r)-stability is investigated here means a disk region with center in (α, 0) and radius r entirely inside the unitary circle centered at the origin of the complex plane where all eigenvalues are inside it.…”
Section: Introductionmentioning
confidence: 99%
“…Also we avoid the system augmentation to obtain a delay-free system [2] due the known problems in such an approach [?] An alternative approach has been proposed in [7] and has been used in [3], to deal with non-fragile controller design, and in [5]. The improved conditions presented in [5], using the same LyapunovKrasovskii (L-K) function employed here, usually leads to more conservative results compared with ours.…”
In this note we consider the problem of robust stabilization of the class of uncertain discretetime systems with constant and bounded delay in the state. Such a stabilization is proposed considering performance issues such as H∞-guaranteed cost and the regional pole location of the closed loop system. We revisit this problem with an approach based on LyapunovKrasovskii function, avoiding the classical one which is directly based on the system augmentation. For this proposal, we found an auxiliary system with multiple delays in the state such that if it is Schur-stable then the original state delayed system has a specified regional pole location. All system matrices are supposed to belong to a polytopic set with known vertices. Some numerical examples are given to illustrate the proposal.
I. IntroductionThe characterization of the performance of a system is a quite important issue in both theoretical and practical aspects of control systems. Two quite useful kinds of performance characterization are i) the so called Dstability [1] analysis where a sub-set of the complex plane is certified as containing all poles of the system, and ii) the H ∞ guaranteed cost between an exogenous input and the controlled output. Perhaps the main advantage of the characterization via D-stability analysis remains on the connections of this approach with the classical control theory [2], which provides the user with some useful engineering insights. In the second case, the H ∞ guaranteed cost has been successfully used in a wide range of applications and theoretical developments, as can be easily verified in the literature of control systems. The conjoint use of these two performance characterization approaches may be of interest to improve, for example, the transient performance and also to assure a minimal level of rejection of exogenous signals in controller design cases [3], [4].
“…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%
“…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. The D(α, r)-stability is investigated here means a disk region with center in (α, 0) and radius r entirely inside the unitary circle centered at the origin of the complex plane where all eigenvalues are inside it.…”
Section: Introductionmentioning
confidence: 99%
“…Also we avoid the system augmentation to obtain a delay-free system [2] due the known problems in such an approach [?] An alternative approach has been proposed in [7] and has been used in [3], to deal with non-fragile controller design, and in [5]. The improved conditions presented in [5], using the same LyapunovKrasovskii (L-K) function employed here, usually leads to more conservative results compared with ours.…”
In this note we consider the problem of robust stabilization of the class of uncertain discretetime systems with constant and bounded delay in the state. Such a stabilization is proposed considering performance issues such as H∞-guaranteed cost and the regional pole location of the closed loop system. We revisit this problem with an approach based on LyapunovKrasovskii function, avoiding the classical one which is directly based on the system augmentation. For this proposal, we found an auxiliary system with multiple delays in the state such that if it is Schur-stable then the original state delayed system has a specified regional pole location. All system matrices are supposed to belong to a polytopic set with known vertices. Some numerical examples are given to illustrate the proposal.
I. IntroductionThe characterization of the performance of a system is a quite important issue in both theoretical and practical aspects of control systems. Two quite useful kinds of performance characterization are i) the so called Dstability [1] analysis where a sub-set of the complex plane is certified as containing all poles of the system, and ii) the H ∞ guaranteed cost between an exogenous input and the controlled output. Perhaps the main advantage of the characterization via D-stability analysis remains on the connections of this approach with the classical control theory [2], which provides the user with some useful engineering insights. In the second case, the H ∞ guaranteed cost has been successfully used in a wide range of applications and theoretical developments, as can be easily verified in the literature of control systems. The conjoint use of these two performance characterization approaches may be of interest to improve, for example, the transient performance and also to assure a minimal level of rejection of exogenous signals in controller design cases [3], [4].
“…[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.…”
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