1998
DOI: 10.1016/s0005-1098(97)00159-3
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Adaptive control of continuous time systems with convex/concave parametrization

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Cited by 205 publications
(163 citation statements)
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“…In this work, a novel adaptive time delay identification technique was presented. Time delays were considered as nonlinear parameters and the nonlinear parameter estimation method [22] was utilized as the time delay identification algorithm for the first time in the literature. Numerical simulation results were conducted to demonstrate the efficiency of the estimator for constant time delays and its robustness to noise.…”
Section: Numerical Simulation Resultsmentioning
confidence: 99%
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“…In this work, a novel adaptive time delay identification technique was presented. Time delays were considered as nonlinear parameters and the nonlinear parameter estimation method [22] was utilized as the time delay identification algorithm for the first time in the literature. Numerical simulation results were conducted to demonstrate the efficiency of the estimator for constant time delays and its robustness to noise.…”
Section: Numerical Simulation Resultsmentioning
confidence: 99%
“…The vertices of the simplex Ω s may be obtained by first inscribing Ω in a ndimensional sphere and then inscribing this sphere inside a (n + 1)-dimensional polyhedron [22].…”
Section: Delay Estimationmentioning
confidence: 99%
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“…If the model used is too simple, such as the simple Coulomb friction and viscous friction model, then there is the possibility of overcompensation resulting from estimation inaccuracies [12]. Adaptive friction compensation schemes have been proposed to compensate for nonlinear friction in a variety of mechanisms [1,12], but these are usually based on the linearized model or a model which is linear-in-the-parameters for the problems under study. Each model captures only the dominate friction phenomena of the system and may exhibit discrepancies when used for other systems where other friction phenomena appear.…”
Section: Introductionmentioning
confidence: 99%