LPV quadratic energy-motion regulators of electric scooters

Hong, Boe Shong; Hu, H.-M.; Chen, H.-B.; Lin, Tsu-Yu; Su, Wen-Jui; Wu, Mei-Hung

doi:10.1109/acc.2012.6315001

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Secondly, substitute the solution For verification of the above observer-based synthesis, it is applied to the generalized plant in [24] for output feedbacks, aimed to counter sensing noises. Therein the double 2 L -gain objectives are indexed by 1 α and 2 α , respectively, appearing at (1).…”

Section: Substituting (23) and (24) Into (18) Yieldsmentioning

confidence: 99%

“…The main difficulty of extending these BRL-stemmed syntheses into multiple 2 L -gain objectives is that the set of feasible closed-loop Lyapunov matrices is unable to numerically track back to a common output-feedback that achieves all 2 L -gain objectives. Even conservatively assuming an identical Lyapunov matrix for all objectives, this difficulty still exists, although there is no such difficulty in state feedback [23][24][25]. We may expect that the BRL-stemmed synthesis in conjunction with observer-based structure, e.g.…”

Section: Introductionmentioning

confidence: 99%

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Multi-objective LPV L2-gain control with game-theoretic synthesis

Hong

2015

2015 10th Asian Control Conference (ASCC)

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It was proved that the DGKF ∞ H -control is still an observer-based control, but the embedded Kalman-filtering has been calibrated by the maximum disturber from the Nash-game perspective. Following such a game-theoretic synthesis, this paper furthers the DGKF ∞ H -control for quadratic regulation of multiple 2 L -gain objectives, which is beyond the capability of the mainstreamed syntheses that counts mostly on sophisticate LMIs algebra. Two aspects of improvement are made: (1) instead of assuming Kalman-filtering, the feasible set of Luenberger gains is formulated into LMIs by a slack variable to remove structural conservatism; and (2) in case of LPV systems, a finite-element method is provided for numerically solving the differential LMIs therefrom.

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Section: Substituting (23) and (24) Into (18) Yieldsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-objective LPV L2-gain control with game-theoretic synthesis

Hong

2015

2015 10th Asian Control Conference (ASCC)

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LPV modeling and game-theoretic control synthesis to design energy–motion regulators for electric scooters

Hong

Chou

2014

Automatica

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Online Energy Management of City Cars with Multi-Objective Linear Parameter-Varying L2-Gain Control

Hong

2015

Energies

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Abstract:This work aims at online regulating transient current out of the batteries of small-sized electric cars that transport people and goods around cities. In a city with heavy traffic, transient current dominates the energy economy and propulsion capability, which are in opposition to each other. In order to manage the trade-off between energy consumption per distance and propulsion capability in transience, the authors improve on previous work on multi-objective linear parameter-varying (LPV) L2-gain control. The observer embedded into this multi-objective controller no longer assumes Kalman-filtering structure, and structural conservatism is thus removed. A full-spectrum set of experiments is performed. The results reveal that the feedback design significantly improves energy-motion management.

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LPV quadratic energy-motion regulators of electric scooters

Cited by 3 publications

References 6 publications

Multi-objective LPV L2-gain control with game-theoretic synthesis

Multi-objective LPV L2-gain control with game-theoretic synthesis

LPV modeling and game-theoretic control synthesis to design energy–motion regulators for electric scooters

Online Energy Management of City Cars with Multi-Objective Linear Parameter-Varying L2-Gain Control

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