2010 42nd Southeastern Symposium on System Theory (SSST 2010) 2010
DOI: 10.1109/ssst.2010.5442794
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State feedback stabilization of linear time-varying systems on time scales

Abstract: Abstract-A fundamental result in linear system theory is the development of a linear state feedback stabilizer for time-varying systems under suitable controllability constraints. This result was previously restricted to systems operating on the continuous (R) and uniform discrete (hZ) time domains with constant step size h. Using the framework of dynamic equations on time scales, we construct a linear state feedback stabilizer for time-varying systems on arbitrary time domains 1 .

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Cited by 8 publications
(4 citation statements)
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“…, s. Sincek i = Kv i , the last inequality is equivalent to Kv i < a i . Thus there must exist K that satisfies (11), so the set of these inequalities is consistent.…”
Section: Stabilizationmentioning
confidence: 99%
See 1 more Smart Citation
“…, s. Sincek i = Kv i , the last inequality is equivalent to Kv i < a i . Thus there must exist K that satisfies (11), so the set of these inequalities is consistent.…”
Section: Stabilizationmentioning
confidence: 99%
“…We rely here on [3] and [4], where uniform exponential stability of linear systems was studied. Stability of linear systems on time scales was also considered in [5,6,7,8,9,10,11,12,13,14]. Various authors considered different concepts of stability and different variants of the same concept.…”
Section: Introductionmentioning
confidence: 99%
“…This appendix is reproduced from the authors' previous works as convenience to readers not yet familiar with the theory of time scales [5]. The theory of time scales springs from the 1988 doctoral dissertation of Stefan Hilger [11] that resulted in his seminal paper [10].…”
Section: Appendix: Dynamic Equations On Time Scales a What Are Timentioning
confidence: 99%
“…Time scales is introduced as a PhD thesis by Stefan Hilger in 1988 which unifies continuous and discrete time systems. Recently, time scales has gained attention in control theory (Jackson et al [2009], Pawluszewicz and Bartosiewicz [2005], , Davis et al [2009b], Davis et al [2010], Bartosiewicz and Pawiuszewicz [2004], Sevim and Goren-Sumer [2012]). In computer controlled systems, constant sampling periods may not be achieved due to some practical problems like jitter, computational delays, communication delays, etc.…”
Section: Introductionmentioning
confidence: 99%