2012 IEEE 51st IEEE Conference on Decision and Control (CDC) 2012
DOI: 10.1109/cdc.2012.6426473
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Estimating and enlarging the domain of attraction in IDA-PBC

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Cited by 6 publications
(2 citation statements)
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“…Therefore, in this section we provide an estimate of how far the trajectories of the nonlinear system can be from the equilibrium point and still converge. In general, estimating the domain of attraction by using H(q, p) as the Lyapunov candidate is a difficult task (see Kloiber and Kotyczka (2012) for a estimation algorithm). For this extended abstract, we use a simpler method to estimate the domain as explained in Khalil (2013).…”
Section: Domain Of Attractionmentioning
confidence: 99%
“…Therefore, in this section we provide an estimate of how far the trajectories of the nonlinear system can be from the equilibrium point and still converge. In general, estimating the domain of attraction by using H(q, p) as the Lyapunov candidate is a difficult task (see Kloiber and Kotyczka (2012) for a estimation algorithm). For this extended abstract, we use a simpler method to estimate the domain as explained in Khalil (2013).…”
Section: Domain Of Attractionmentioning
confidence: 99%
“…A method to estimate such a region consists of using the tools designed to estimate the region of attraction of the equilibrium of stable linearized systems. For further details, see [43] or [89].…”
Section: On the Practical Implementation Of The Tuning Rulesmentioning
confidence: 99%