Results 41 to 50 of about 3,398,797 (221)

Error analysis of QR algorithms for computing Lyapunov exponents [PDF]

open access: yes, 2001
Lyapunov exponents give valuable information about long term dynamics. The discrete and continuous QR algorithms are widely used numerical techniques for computing approximate Lyapunov exponents, although they are not yet supported by a general error ...
McDonald, E.J., Higham, D.J.
core   +4 more sources

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Finite-Time H∞ Control for Time-Delayed Stochastic Systems with Markovian Switching

open access: yesAbstract and Applied Analysis, 2014
This paper studies the problem of finite-time H∞ control for time-delayed Itô stochastic systems with Markovian switching. By using the appropriate Lyapunov-Krasovskii functional and free-weighting matrix techniques, some sufficient conditions of finite ...
Wenhua Gao   +3 more
doaj   +1 more source

On the Lyapunov functional of Leslie-Gower predator-prey models with time-delay and Holling's functional responses

open access: yesElectronic Journal of Qualitative Theory of Differential Equations, 2012
The global stability on the dynamical behavior of the Leslie-Gower predator-prey system with delayed prey specific growth is analyzed by constructing the corresponding Lyapunov functional.
Chao-Pao Ho   +2 more
doaj   +1 more source

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

open access: yesAdvanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith   +4 more
wiley   +1 more source

H∞ Control for a Networked Control Model of Systems with Two Additive Time-Varying Delays

open access: yesAbstract and Applied Analysis, 2014
This paper is concerned with H∞ control for a networked control model of systems with two additive time-varying delays. A new Lyapunov functional is constructed to make full use of the information of the delays, and for the derivative of the Lyapunov ...
Hanyong Shao   +3 more
doaj   +1 more source

Robotics in Ionizing Radiation Environments: Vulnerabilities, Hardening, and Future Directions

open access: yesAdvanced Robotics Research, EarlyView.
Radiation exposure causes cumulative degradation in robotic sensors, actuators, and electronic logic, often leading to undetected failures. This study maps component vulnerabilities, evaluates hardening and shielding strategies, and identifies testing gaps that must be addressed to enable next‐generation radiation‐tolerant robotic systems.
Francis A. K. Djirackor   +4 more
wiley   +1 more source

Stabilization, Lyapunov functions, and dissipation [PDF]

open access: yesSystems & Control Letters, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rapisarda, Paolo, Kojima, Chiaki
openaire   +4 more sources

Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons

open access: yesAdvanced Science, EarlyView.
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley   +1 more source

On the Entropy Based Associative Memory Model with Higher-Order Correlations

open access: yesEntropy, 2010
In this paper, an entropy based associative memory model will be proposed and applied to memory retrievals with an orthogonal learning model so as to compare with the conventional model based on the quadratic Lyapunov functional to be minimized during ...
Masahiro Nakagawa
doaj   +1 more source

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