2014
DOI: 10.1002/acs.2445
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Adaptive sliding mode observer design for a class of uncertain systems

Abstract: State feedback method is quite popular in control engineering field. However, some popular properties of state feedback approach cannot be used while any of the system states cannot be obtained beforehand. Therefore, this paper proposes a new observer design for a class of uncertain systems through sliding mode control theory. Based on strictly positive real concept, the stability of the equivalent error system is verified. Further, by using the generalized matrix inverse approach, the proposed switching term … Show more

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Cited by 7 publications
(20 citation statements)
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References 20 publications
(51 reference statements)
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“…Since their SMO design (Yan and Edwards, 2007;Spurgeon, 2008) is based on a state transformation, their results are indirectly obtained due to the requirement of coordinate transformation. Recently, using the generalized matrix inverse approach, Liu et al (2009) proposed a new SMO for a class of uncertain systems. However, none of the above SMO design considered the state delay factor.…”
Section: X(t) = (A + δA)x(t) + (A D + δA D )X(t − τ ) + (B + δB)u(t) mentioning
confidence: 99%
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“…Since their SMO design (Yan and Edwards, 2007;Spurgeon, 2008) is based on a state transformation, their results are indirectly obtained due to the requirement of coordinate transformation. Recently, using the generalized matrix inverse approach, Liu et al (2009) proposed a new SMO for a class of uncertain systems. However, none of the above SMO design considered the state delay factor.…”
Section: X(t) = (A + δA)x(t) + (A D + δA D )X(t − τ ) + (B + δB)u(t) mentioning
confidence: 99%
“…In this paper, utilizing the results derived by Liu et al (2009) and VSC theory, the design of a new VSO for a class of uncertain systems with time-varying delay is accomplished. The proposed variable structure observer will be shown to possess the invariance property in relation to the lumped perturbation as the traditional variable structure controller does.…”
Section: X(t) = (A + δA)x(t) + (A D + δA D )X(t − τ ) + (B + δB)u(t) mentioning
confidence: 99%
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“…Hassan [9] developed a state observer to estimate the states for nonlinear discrete-time dynamical systems with uncertain parameters. On the other hand, based on SMC theory, some design approaches and applications of sliding mode observer (SMO) [12][13][14][15][16][17][18][19][20][21][22] have been proposed. Trinh and Aldeen [11] proposed a simple and systematic design method to investigate a reducedorder state observer for large-scale discrete-time systems; their observer dynamics are derived based on a set of unstable and/or poorly damped eigenvalues of the system.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Liu et al [20] developed an observerbased fault-tolerant control scheme for Markovian jump systems with time delay and Lipschitz nonlinearities based on a new proportional and derivative SMO technique. And Liu et al [22] proposed a new SMO design for a class of uncertain systems via the generalized matrix inverse approach. And Liu et al [22] proposed a new SMO design for a class of uncertain systems via the generalized matrix inverse approach.…”
Section: Introductionmentioning
confidence: 99%