Results 41 to 50 of about 4,465 (210)

Wearable exoskeleton robot control using radial basis function‐based fixed‐time terminal sliding mode with prescribed performance

open access: yesAsian Journal of Control, EarlyView.
Abstract This paper tackles the problem of robust and accurate fixed‐time tracking in human–robot interaction and deals with uncertainties. This work introduces a control approach for a wearable exoskeleton designed specifically for rehabilitation tasks.
Mahmoud Abdallah   +4 more
wiley   +1 more source

Quantum Lyapunov Exponents

open access: yesFoundations of Physics, 2002
15 pages, 10 ...
FALSAPERLA, PAOLO, G. FONTE, G. SALESI
openaire   +5 more sources

Exponential growth of out-of-time-order correlator without chaos: inverted harmonic oscillator

open access: yesJournal of High Energy Physics, 2020
We provide a detailed examination of a thermal out-of-time-order correlator (OTOC) growing exponentially in time in systems without chaos. The system is a one-dimensional quantum mechanics with a potential whose part is an inverted harmonic oscillator ...
Koji Hashimoto   +3 more
doaj   +1 more source

Advanced control of non‐isothermal axial dispersion tubular reactors with recycle‐induced state delay

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract We develop a delay‐aware estimation and control framework for a non‐isothermal axial dispersion tubular reactor modelled as a coupled parabolic‐hyperbolic PDE system with recycle‐induced state delay. The infinite‐dimensional dynamics are preserved without spatial discretization by representing the delay as a transport PDE and adopting a late ...
Behrad Moadeli, Stevan Dubljevic
wiley   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao   +2 more
wiley   +1 more source

On the Lyapunov Exponent of Monotone Boolean Networks

open access: yesMathematics, 2020
Boolean networks are discrete dynamical systems comprised of coupled Boolean functions. An important parameter that characterizes such systems is the Lyapunov exponent, which measures the state stability of the system to small perturbations.
Ilya Shmulevich
doaj   +1 more source

Cardiorespiratory cross‐frequency coupling biomarker for sudden unexpected death in epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective Sudden unexpected death in epilepsy (SUDEP) often follows generalized tonic–clonic seizures during sleep, likely resulting from impaired brainstem cardiorespiratory function. We used ictal electrocardiogram (ECG)‐based cross‐frequency phase–amplitude coupling (PAC) to detect cardiorespiratory disruptions, comparing SUDEP to non‐SUDEP
Adam C. Gravitis   +7 more
wiley   +1 more source

Largest Lyapunov Exponents and Bifurcations of Stochastic Nonlinear Systems

open access: yesShock and Vibration, 1996
Two commonly adopted expressions for the largest Lyapunov exponents of linearized stochastic systems are reviewed. Their features are discussed in light of bifurcation analysis and one expression is selected for evaluating the largest Lyapunov exponent ...
C.W.S. To, D.M. Li
doaj   +1 more source

Can the Flap of a Butterfly’s Wings Shift a Tornado into Texas—Without Chaos?

open access: yesAtmosphere, 2023
In our title, “chaos” means there is a positive Lyapunov exponent that causes the tornado to move. We are asserting that a positive Lyapunov exponent is not always needed to have a butterfly effect.
Yoshitaka Saiki, James A. Yorke
doaj   +1 more source

Sectional Lyapunov exponents [PDF]

open access: yesProceedings of the American Mathematical Society, 2010
Sectional Lyapunov exponents are characterized by using sectional Anosov flows. A result by Sataev is also extended.
openaire   +1 more source

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