Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171)
DOI: 10.1109/cdc.1998.761738
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Energy-based Lyapunov functions for forced Hamiltonian systems with dissipation

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Cited by 36 publications
(19 citation statements)
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“…Section 4.3 generalizes and expands ideas from [120,195,149,121]. Example 4.3.3 is taken from Stramigioli, [194].…”
Section: The Background Onmentioning
confidence: 99%
“…Section 4.3 generalizes and expands ideas from [120,195,149,121]. Example 4.3.3 is taken from Stramigioli, [194].…”
Section: The Background Onmentioning
confidence: 99%
“…This function is based on the passivity nature of the DC-DC power converters and [12] gives more details about the choice of this Lyapunov function. Its derivative is given bẏ…”
Section: A Research Of the Singular Arcsmentioning
confidence: 99%
“…During the integration, the bang-bang control conditions given by (12) are checked. • Step 5: A state feedback control is established by an interpolation of the optimal trajectories from Step 4 using neural networks.…”
Section: B Algorithmmentioning
confidence: 99%
“…Control design by fully using the good natural system dynamics, i.e. the physically-based control design method can lead to simple and effective controllers, and is a promising trend of advanced control theory [13][14][15]. Very recently, based on the physically-based design approach, Dong proposed a nonlinear dynamic output-feedback power-level control law for the PWRs [16], and proved theoretically that the simple proportional-differential (PD) power-level control strategy could guarantee globally asymptotic closed-loop stability for the PWRs [17].…”
Section: Introductionmentioning
confidence: 99%