Results 51 to 60 of about 919 (159)
Finite-gain Lp stability for hybrid dynamical systems [PDF]
, 2013 We characterize the finite-gain Lp stability properties for hybrid dynamical systems. By defining a suitable concept of the hybrid Lp norm, we introduce hybrid storage functions and provide sufficient Lyapunov conditions for the Lp stability of hybrid ...
Zaccarian, L +3 more
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Anchor Flow Maps: Efficient Sampling and Approximation of the Entire Flow Map
Computer Graphics Forum, EarlyView.Abstract Flow maps are a fundamental concept for the visualization and analysis of time‐dependent flows. A common approach is to apply sampling and reconstruction – which comes with a number of problems: flow maps are high‐dimensional functions with locally large gradients which makes approximations very challenging.
D. Stelter +3 more
wiley +1 more source
Convex optimization for Stability Analysis in Dc Microgrids [PDF]
, 2020 Direct current (DC) microgrids are a technology that promises advantages such as efficiency and reliability, for integrating renewable energy and storage devices.
Londoño Marin, Vanesa
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A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
The Canadian Journal of Chemical Engineering, Volume 104, Issue 8, Page 4322-4336, August 2026.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
Stability and passivity analysis of higher-order differential systems inspired by RLC circuits [PDF]
This paper discusses the global asymptotic stability and strong passivity analysis of fourth-order nonlinear and time-varying dynamical systems by utilizing the Lyapunov direct method.
Ateş, Muzaffer, Ateş, Muhammet
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Toward Autonomous Clinics: Human–Robot Collaboration in Clinical Care
MedComm, Volume 7, Issue 8, August 2026.This graphical abstract summarizes the conceptual structure of human–robot collaboration (HRC) for autonomous clinical systems. The framework is organized around a dual‐brain architecture in which a professional brain supports clinical reasoning tasks such as diagnosis, image analysis, treatment planning, and patient monitoring, while a physical brain ...
Xinyuan Wu +8 more
wiley +1 more source
Control System for the Navigation of the Agricultural Robots: A Review
Journal of Field Robotics, Volume 43, Issue 5, Page 3474-3505, August 2026.ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía +3 more
wiley +1 more source
A modular design of incremental Lyapunov functions for microgrid control with power sharing [PDF]
, 2017 In this paper we contribute a theoretical framework that sheds a new light on the problem of microgrid analysis and control. The starting point is an energy function comprising the kinetic energy associated with the elements that emulate the rotating ...
De Persis, C, ,, Monshizadeh, N
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Small Science, Volume 6, Issue 8, August 2026.Wavelet transform‐based AFM enables real‐time nanoscale imaging by applying wavelet analysis to raw cantilever deflection signals. It reveals non‐linear, transient and multi‐frequency dynamics beyond conventional steady‐state methods. Integrated with adaptive filtering and digital twin modelling, it produces high‐resolution, information‐rich maps of ...
Pardis Biglarbeigi +4 more
wiley +1 more source
Bounds of the Induced Norm and Model Reduction Errors for a Class of Nonlinear Systems [PDF]
, 1999 The class of nonlinear systems described by a discretetime state equation containing a diagonal nonlinear term as in recurrent neural networks is considered.
Keith Glover, Yun-Chung Chu
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