2011
DOI: 10.1177/0142331211403539
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Control of uncertain piecewise discrete-time linear systems via state and output feedback

Abstract: Based on piecewise quadratic Lyapunov function techniques, this paper first provides a stability condition for the uncertain piecewise discrete-time linear system, which is a feasibility problem of linear matrix inequalities. Then the control methods for uncertain piecewise discrete-time linear systems via state feedback and output feedback controllers are proposed. It is shown that both the state feedback and output feedback controllers can be obtained by solving a set of bilinear matrix inequalities. A numer… Show more

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Cited by 8 publications
(7 citation statements)
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References 32 publications
(33 reference statements)
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“…Proof: (1) As we know, the equilibrium point x e = 0 is the stability condition for the discrete control system. Based on Zhang et al (2012), x ( k ) = ( A + BG ) k x 0 are the solutions of the closed-loop system (28), and the solutions satisfy the following condition…”
Section: Svsgd Algorithmmentioning
confidence: 99%
“…Proof: (1) As we know, the equilibrium point x e = 0 is the stability condition for the discrete control system. Based on Zhang et al (2012), x ( k ) = ( A + BG ) k x 0 are the solutions of the closed-loop system (28), and the solutions satisfy the following condition…”
Section: Svsgd Algorithmmentioning
confidence: 99%
“…The key idea is to find piecewise-linear systems (PLS) as the approximation of nonlinear systems, then analyze and design the approximated PLS instead of original nonlinear systems. In this way, the analysis and synthesis methods (see [16][17][18][19][20][21][22][23][24]) for PLS can be extended to nonlinear systems area. Due to the approximation process, the controller designed for PLS can only be effective under the condition of small approximation error.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, Zhang and Tang [8,9] extended the PQLF technique to the output feedback H ∞ control of PWS with admissible uncertainties and disturbances, and bilinear matrix inequality (BMI)-based results were shown to design controller and observer gains, which can be solved by the mixed algorithm proposed by Zhang and Tang. On the other side, Tao et al [10,11] studied the model reference adaptive control design problem of PWS with parametric uncertainties, for which piecewise linear reference model systems were used to generate desired state trajectory, and novel piecewise adaptive control schemes are developed by average dwell-time approach, it is proved that asymptotic tracking performance can be achieved if the reference input is sufficiently rich and the switches are sufficiently slow.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, Zhang and Tang extended the PQLF technique to the output feedback H control of PWS with admissible uncertainties and disturbances, and bilinear matrix inequality (BMI)‐based results were shown to design controller and observer gains, which can be solved by the mixed algorithm proposed by Zhang and Tang. On the other side, Tao et al.…”
Section: Introductionmentioning
confidence: 99%