Results 51 to 60 of about 72,754 (241)

Controlling Dynamical Systems Into Unseen Target States Using Machine Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr   +2 more
wiley   +1 more source

LMI conditions for some dynamical behaviors of fractional-order quaternion-valued neural networks

open access: yesAdvances in Difference Equations, 2019
This paper addresses the issue of three dynamical behaviors including global Mittag-Leffler stability, robust stability and projection synchronization for fractional-order quaternion-valued neural networks (FQVNNs).
Dongyuan Lin   +3 more
doaj   +1 more source

New Fundamental Results on the Continuous and Discrete Integro-Differential Equations

open access: yesMathematics, 2022
This work studies certain perturbed and un-perturbed nonlinear systems of continuous and discrete integro-delay differential equations (IDDEs). Using the Lyapunov–Krasovskii functional (LKF) method and the Lyapunov–Razumikhin method (LRM), uniform ...
Osman Tunç   +3 more
doaj   +1 more source

Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates

open access: yesAdvanced Intelligent Systems, EarlyView.
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin   +4 more
wiley   +1 more source

Novel Lagrange sense exponential stability criteria for time-delayed stochastic Cohen–Grossberg neural networks with Markovian jump parameters: A graph-theoretic approach

open access: yesNonlinear Analysis, 2020
This paper concerns the issues of exponential stability in Lagrange sense for a class of stochastic Cohen–Grossberg neural networks (SCGNNs) with Markovian jump and mixed time delay effects.
Iswarya Manickam   +4 more
doaj   +1 more source

Complexity Analysis of Bubble Plumes in Power Law Fluids Based on Chaos Theory

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In order to reveal the complexity of the internal flow of bubble plume in power law fluid, the flow characteristics and chaotic characteristics of plume are studied by experiment and theory. The chaotic characteristic parameters (correlation dimension D, K entropy, and Lyapunov exponent λ) of gas velocity under different superficial gas ...
Xin Dong   +6 more
wiley   +1 more source

Dynamic Stability and Control of a Manipulating Unmanned Aerial Vehicle

open access: yesInternational Journal of Aerospace Engineering, 2018
This paper focuses on the dynamic stability analysis of a manipulator mounted on a quadrotor unmanned aerial vehicle, namely, a manipulating unmanned aerial vehicle (MUAV).
Yunping Liu   +3 more
doaj   +1 more source

Estabilidad casi segura de los sistemas lineales de salto Markoviano en tiempo discreto

open access: yesSelecciones Matemáticas, 2019
The present work deals with the study of the almost sure stability of discrete-time Markov jump linear systems (MJLS). First, the stability of linear systems in discrete time (MJLS with a single mode) is introduced by the Lyapunov exponent.
Victor Camarena P.
doaj   +1 more source

Relaxed ISS Small-Gain Theorems for Discrete-Time Systems [PDF]

open access: yes, 2015
In this paper ISS small-gain theorems for discrete-time systems are stated, which do not require input-to-state stability (ISS) of each subsystem. This approach weakens conservatism in ISS small-gain theory, and for the class of exponentially ISS systems
Geiselhart, Roman, Wirth, Fabian R.
core  

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

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