Results 121 to 130 of about 3,187 (246)

Contesting Regulatory Capacity: Exploring Doctrines in the Regulatory State

open access: yesPublic Administration and Development, EarlyView.
ABSTRACT The contemporary literature on regulation and development has emphasised the importance of low discretion devices for achieving desired policy objectives. At the same time, there has been a growing recognition that state capacity in general, and regulatory capacity more specifically, are essential for achieving development goals in a world of ...
Bruno Queiroz Cunha, Martin Lodge
wiley   +1 more source

Improved deformation reconstruction of composite material structures based on optical fiber sensing. [PDF]

open access: yesSci Rep
Huang J   +8 more
europepmc   +1 more source

PID‐Like Robust Control of Non‐Minimum Phase Robotic Manipulators

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper proposes an output‐feedback tracking controller for non‐minimum phase nonlinear systems with unknown uncertainties and external disturbances, where not all states are measurable, and the zero dynamics are unstable. The approach combines a backstepping‐based stabilizing state‐feedback law with a cascade extended high‐gain observer ...
Mohammad Al Saaideh   +2 more
wiley   +1 more source

Optimal Gain Selection for the Arbitrary‐Order Homogeneous Differentiator

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Differentiation of noisy signals is a relevant and challenging task. Widespread approaches are the linear high‐gain observer acting as a differentiator and Levant's robust exact differentiator with a discontinuous right‐hand side. We consider the family of arbitrary‐order homogeneous differentiators, which includes these special cases.
Benjamin Calmbach   +2 more
wiley   +1 more source

Recursive Feasibility of Nonlinear Stochastic Model Predictive Control With Gaussian Process Dynamics

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf   +2 more
wiley   +1 more source

AiM: urban air quality forecasting with grid-embedded recurrent MLP model. [PDF]

open access: yesSci Rep
Chatterjee K   +9 more
europepmc   +1 more source

Periodic Scenario Trees: A Novel Framework for Robust Periodic Invariance and Stabilization of Constrained Uncertain Linear Systems

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This work proposes a new framework for stabilizing uncertain linear systems and for determining robust periodic invariant sets and their associated control laws for constrained uncertain linear systems. Necessary and sufficient conditions for stabilizability by periodic controllers are stated and proven using finite step Lyapunov functions for
Yehia Abdelsalam   +2 more
wiley   +1 more source

MRI-based habitat analysis for differentiating benign and malignant vertebral compression fractures. [PDF]

open access: yesBMC Med Imaging
Liu X   +7 more
europepmc   +1 more source

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