Results 51 to 60 of about 149,904 (230)
Deep Reinforcement Learning for Chaos Control of a Nonlinear Jumping Quarter-Car Model
IEEE AccessVibrations can reduce the controllability of vehicles and can be uncomfortable for passengers. In particular, nonlinear vibrations can lead to larger amplitudes and complex behaviors.
Masahisa Watanabe
doaj +1 more source
Tariff-jumping FDI and Domestic Firms' Profits [PDF]
Studies of the welfare implications of trade policy often do not take account of the potential for tariff-jumping FDI to mitigate positive gains to domestic producers. We use event study methodology to examine the market effects for U.S.
KaSaundra Tomlin +2 more
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State estimation for discrete-time neural networks with Markov-mode-dependent lower and upper bounds on the distributed delays [PDF]
, 2012 Copyright @ 2012 Springer VerlagThis paper is concerned with the state estimation problem for a new class of discrete-time neural networks with Markovian jumping parameters and mixed time-delays.
Liu, Y, Liu, X, Wang, Z
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Waveguide Photoactuators: Materials, Fabrication, and Applications
Advanced Robotics Research, EarlyView.Waveguide photoactuators convert guided light into mechanical motion. Their tethered‐flexible design enables minimally invasive surgery and confined‐space robotics. This review aims to guide materials selection, device design, and system integration, accelerating the transition of waveguide photoactuators from laboratory prototypes to versatile ...
Minjie Xi +4 more
wiley +1 more source
Testing for ARCH in the Presence of Nonlinearity of Unknown Form in the Conditional Mean [PDF]
Tests of ARCH are a routine diagnostic in empirical econometric and financial analysis. However, it is well known that misspecification of the conditional mean may lead to spurious rejections of the null hypothesis of no ARCH.
George Kapetanios, Andrew P. Blake
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Advanced Robotics Research, EarlyView.This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source
Nonlinear principal resonance of magneto-electro-elastic thin plate
Journal of Measurement Science and Instrumentation, 2014 Considering magneto-electro-elastic thin plate,the von Karman plate theory of large deflection and the geometric nonlinearity,the mathematical model of nonlinear undamped forced vibration is established. Making use of the improved Lindstedt-Poincare（L-P）
XUE Chun-xia, REN Xiu-juan
doaj
Testing for Neglected Nonlinearity in Long Memory Models [PDF]
This paper constructs tests for the presence of nonlinearity of unknown form in addition to a fractionally integrated, long memory component in a time series process.
George Kapetanios, Richard T. Baillie
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Numerical Modeling of Photothermal Self‐Excited Composite Oscillators
Advanced Robotics Research, EarlyView.We present a numerical framework for simulating photothermal self‐excited oscillations. The driving mechanism is elucidated by highlighting the roles of inertia and overshoot, as well as the phase lag between the thermal moment and the oscillation angle, which together construct the feedback loop between the system state and the environmental stimulus.
Zixiao Liu +6 more
wiley +1 more source
An Out-of-Sample Test for Nonlinearity in Financial Time Series: An Empirical Application [PDF]
This paper employs a local information, nearest neighbour forecasting methodology to test for evidence of nonlinearity in financial time series. Evidence from well-known data generating process are provided and compared with returns from the Athens stock
Theodore Panagiotidis
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