2001
DOI: 10.1002/rnc.574
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Stabilization of a class of uncertain nonlinear affine systems subject to control constraints

Abstract: SUMMARYPractical and asymptotic stabilization is investigated for a class of uncertain nonlinear a$ne control systems subject to constraints on the control inputs. The uncertain systems are modelled as non-linear perturbations to a known non-linear idealized system and a problem formulation based on di!erential inclusions is adopted. A class of constrained generalized state-feedback controls (containing both continuous and discontinuous selections) is developed, which guarantees stabilization with a speci"ed r… Show more

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Cited by 4 publications
(4 citation statements)
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(34 reference statements)
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“…for 0 x ≠ ∀ , Goodall et al, 2001. Taking the derivative of (19), If τ is small enough then (22) can be given as:…”
Section: Controller τmentioning
confidence: 99%
“…for 0 x ≠ ∀ , Goodall et al, 2001. Taking the derivative of (19), If τ is small enough then (22) can be given as:…”
Section: Controller τmentioning
confidence: 99%
“…In general mathematical models of dynamical systems are usually imprecise due to modelling errors and exogenous disturbances [12]. Equation (23) can be considered as the nominal part of the system model and the uncertainty can be modelled as an additive perturbation to the nominal system model; more specifically, the structure of the system has the forṁ…”
Section: Stability Analysismentioning
confidence: 99%
“…Since ( ( ), ) is directly mapped into the "control" space of ( ) it can be considered as a matched uncertainty. ( , ( ), ) is unknown and it does belong to the control space of ( ); so it represents the mismatched uncertainty in the system [12].…”
Section: Lemma 1 Defining a Lyapunov Function (28) And Choosing The mentioning
confidence: 99%
“…The objective for the next step is to find the range of that will ensure (V( ) < 0 ∀x ̸ = 0) [25][26][27]. Taking the derivative of (18),…”
Section: Mathematical Analysismentioning
confidence: 99%