2018
DOI: 10.1109/access.2018.2854563
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An Improved Reciprocally Convex Inequality and Application to Stability Analysis of Time-Delay Systems Based on Delay Partition Approach

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Cited by 8 publications
(2 citation statements)
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“…From the research on digital filters point of view, there are only a few works on digital filters considering the time-varying delay [3], [47], [49], [50], and the techniques used therein are all conservative in comparison to the ones developed for the time-delay systems. Recently, many more effective methods have been developed for dealing with time-varying delays, such as augmented Lyapunov functionals [51]- [53], new inequalities [42], [54]- [56], extended reciprocally convex matrix inequalities [57]- [59], etc. From the viewpoint of techniques dealing with the discrete-time delay systems, every term in the Lyapunov functionals is usually required to positive in order to guarantee the positive-definiteness of the functionals.…”
Section: Introductionmentioning
confidence: 99%
“…From the research on digital filters point of view, there are only a few works on digital filters considering the time-varying delay [3], [47], [49], [50], and the techniques used therein are all conservative in comparison to the ones developed for the time-delay systems. Recently, many more effective methods have been developed for dealing with time-varying delays, such as augmented Lyapunov functionals [51]- [53], new inequalities [42], [54]- [56], extended reciprocally convex matrix inequalities [57]- [59], etc. From the viewpoint of techniques dealing with the discrete-time delay systems, every term in the Lyapunov functionals is usually required to positive in order to guarantee the positive-definiteness of the functionals.…”
Section: Introductionmentioning
confidence: 99%
“…For the former methods mentioned above, the main methods for constructing LKFs are the complete LKF [19], discrete type LKF [20], augmented LKF [21]- [24], and delay partition methods [25]- [27]. For the latter, the prime methods are the free-weighting matrix approach [28], integral inequalities [29]- [35], reciprocally convex approach [36]- [39], and the quadratic function method [40]- [42].…”
Section: Introductionmentioning
confidence: 99%