9 research outputs found

    Adaptive control design for nonlinearly parameterized systems with a triangular structure

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    A novel adaptive backstepping design for a class of nonlinearly parameterized systems with a triangular structure is proposed. Under the Lipschitz condition with respect to unknown parameters of the system, an effective adaptive controller is designed without the requirement on the compactness of the unknown parametric set. Especially, the proposed adaptive control enables the advantage of 'tuning function concept', which results in only one estimation law for the unknown parameters. Our simulation with induction motor model particularly shows the viability of the obtained results

    Adaptive control for nonlinearly parameterized uncertainties in robot manipulators

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    In this brief, a new adaptive control framework to compensate for uncertain nonlinear parameters in robot manipulators is developed. The designed adaptive controllers possess a linear parameter structure, guarantee global boundedness of the closed-loop system as well as tracking of a given trajectory within any prescribed accuracy. Our design approach takes advantage of a Lipschitzian property with respect to the plant nonlinear parameters. The outcome is that a very broad class of nonlinearly parameterized adaptive control problems for robot manipulators can be solved using this technique. Another feature of the proposed method is the design of low-dimensional estimator, even 1-D if desired, independently of the unknown parameter vector dimension. Simulations and experiments in friction compensation task for low-velocity tracking of a 2 degree-of-freedom planar robot demonstrate the viability of the technique and emphasize its advantages relatively to more classical approaches. © 2008 IEEE

    Adaptive incentive selection for crowdsourcing contests

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    Tackling undernutrition in the Asian healthcare setting: A Southeast Asian expert consensus

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    10.6133/apjcn.201811_27(6).0001Asia Pacific Journal of Clinical Nutrition2761161-117

    Silicon nanostructures for photonics and photovoltaics

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    Silicon has long been established as the material of choice for the microelectronics industry. This is not yet true in photonics, where the limited degrees of freedom in material design combined with the indirect bandgap are a major constraint. Recent developments, especially those enabled by nanoscale engineering of the electronic and photonic properties, are starting to change the picture, and some silicon nanostructures now approach or even exceed the performance of equivalent direct-bandgap materials. Focusing on two application areas, namely communications and photovoltaics, we review recent progress in silicon nanocrystals, nanowires and photonic crystals as key examples of functional nanostructures. We assess the state of the art in each field and highlight the challenges that need to be overcome to make silicon a truly high-performing photonic material

    Silicon nanostructures for photonics and photovoltaics

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