1989
DOI: 10.1007/bf02551276
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Sufficient lyapunov-like conditions for stabilization

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Cited by 311 publications
(94 citation statements)
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“…In [1] it was shown that if the above condition is fulfilled, then the system (1) is stabilizable at the origin by means of a nonlinear feedback law which is smooth for x = 0. The same result was proved independently in [10,11] and [12], where the corresponding stabilizing feedback laws are more explicitly identified. One of the interesting topics in control theory is the stabilization of homogeneous systems affine in control.…”
Section: Introductionsupporting
confidence: 62%
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“…In [1] it was shown that if the above condition is fulfilled, then the system (1) is stabilizable at the origin by means of a nonlinear feedback law which is smooth for x = 0. The same result was proved independently in [10,11] and [12], where the corresponding stabilizing feedback laws are more explicitly identified. One of the interesting topics in control theory is the stabilization of homogeneous systems affine in control.…”
Section: Introductionsupporting
confidence: 62%
“…where the state x ∈ R n , the input u ∈ R, f (0) = 0, and f, g are smooth vector fields, the basic stabilization Lyapunov condition provided in [1,10,11] and [12] can be expressed as follows. There exists a positive definite real function V : R n −→ R (i. e., V (0) = 0 and V (x) > 0 for x = 0 near zero) such that for any x = 0 near zero with ∇V.g(x) = 0 it holds ∇V.f (x) < 0.…”
Section: Introductionmentioning
confidence: 99%
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“…(iii) The existing feedback design methodology based on partition of unity arguments (see. e.g., [2,33]) does not work because the state space X is infinite-dimensional. (iv ) The feedback design methodology based on Michael's Theorem (see, e.g., [7]) does not work either because simple continuity of the feedback does not suffice or because the hypotheses of Michael's Theorem cannot be verified.…”
Section: X(t) = F (T D(t) X(t) U(t)) Y (T) = H(t X(t)) X(t) ∈ N mentioning
confidence: 99%
“…In the recent works [22] and [23], the concept of Weak Global Asymptotic Stabilization by Sampled-Data Feedback (SDF-WGAS) is introduced for autonomous systems: This condition constitutes an extension of the well-known "Artstein-Sontag" sufficient condition for asymptotic stabilization of systems (1.2) by means of an almost smooth feedback; (see [3], [19] and [21]). Throughout the paper we adopt the following notations.…”
Section: Introductionmentioning
confidence: 99%