2018
DOI: 10.1016/j.automatica.2018.02.015
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Stability and stabilization of periodic piecewise linear systems: A matrix polynomial approach

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Cited by 81 publications
(58 citation statements)
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“…But the system in [22] does not contain uncertainty and periodic systems were not considered in [22]. Li et al [23] proposed conditions of stability and stabilization for periodic piecewise linear systems but they neither considered discrete-time periodic systems nor taken uncertainty into consideration. Compared with [22,23], the results obtained in this paper have a greater range of applications.…”
Section: Corollarymentioning
confidence: 99%
“…But the system in [22] does not contain uncertainty and periodic systems were not considered in [22]. Li et al [23] proposed conditions of stability and stabilization for periodic piecewise linear systems but they neither considered discrete-time periodic systems nor taken uncertainty into consideration. Compared with [22,23], the results obtained in this paper have a greater range of applications.…”
Section: Corollarymentioning
confidence: 99%
“…Besides its valuable theoretical properties, periodic piecewise system also has many applications in practice, including but not limited to power converters [5], and vibration systems [6]. Many results have been reported in [7][8][9], where the time-invariant subsystems are considered. However, the time-invariant subsystem formulations may render loss of some dynamic properties of the original system [10].…”
Section: Introductionmentioning
confidence: 99%
“…Because of its value in application and continuous-time periodic systems study, the periodic piecewise system attracts much attention in recent years [9]- [15]. The stability, L 2 -gain and generalized H 2 performance indices are investigated in [9], [10], respectively.…”
Section: Introductionmentioning
confidence: 99%
“…No matter the continuous or the multiple Lyapunov functions, the timevarying Lyapunov matrices established in the results mentioned above are formulated in the linear interpolation form of time. To further improve the Lyapunov matrix, the matrix polynomial formulation is proposed in [15], where more free variables are introduced in the constructed Lyapunov function. In that work, the constraints on exponential order of each subsystems are relaxed as well.…”
Section: Introductionmentioning
confidence: 99%
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