Results 51 to 60 of about 91,674 (304)
Abstract This work experimentally validates the RESPONSE (Resilient Process cONtrol SystEm) framework as a solution for maintaining safe, continuous operation of cyber‐physical process systems under cyberattacks. RESPONSE implements a dual‐loop architecture that runs a networked online controller in parallel with a hard‐isolated offline controller ...
Luyang Liu +5 more
wiley +1 more source
An efficient deep learning model for brain tumour detection with privacy preservation
Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman +8 more
wiley +1 more source
Common Weak Linear Copositive Lyapunov Functions for Positive Switched Linear Systems
Lyapunov functions play a key role in the stability analysis of complex systems. In this paper, we study the existence of a class of common weak linear copositive Lyapunov functions (CWCLFs) for positive switched linear systems (PSLSs) which generalize ...
Yuangong Sun, Zhaorong Wu, Fanwei Meng
doaj +1 more source
This work deals with a systematic approach for the investigation of compound difference anti-synchronization (CDAS) scheme among chaotic generalized Lotka-Volterra biological systems (GLVBSs).
Harindri Chaudhary +3 more
doaj +1 more source
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
Stochastic stability and instability of rumor model
In this study, we present a stochastic rumor model. The stability of the disease-free equilibrium state and instability of the free equilibrium E0{E}_{0} of stochastic epidemics model are considered with the help of Lyapunov functions.
Zhang Jing, Wang Xinyao, Wang Xiaohuan
doaj +1 more source
Synchronization of Caputo fractional neural networks with bounded time variable delays
One of the main problems connected with neural networks is synchronization. We examine a model of a neural network with time-varying delay and also the case when the connection weights (the influential strength of the jjth neuron to the iith neuron) are ...
Almeida Ricardo +2 more
doaj +1 more source
Via‐Points Task Execution Based on Enhanced Dynamic Movement Primitives and Steering Force Fields
Enhanced dynamic movement primitives with steering force fields enable robotic arms to flexibly traverse static and dynamic via‐points while preserving demonstrated trajectory shapes. The method ensures stability, minimizes free‐space loss, and adapts to complex environments without additional learning, making it particularly suitable for industrial ...
Xumeng Cheng +6 more
wiley +1 more source
Combining safety objectives with stability objectives is crucial for safety-critical systems. Existing studies generally unified these two objectives by constructing Lyapunov-type barrier functions. However, insufficient analysis of key set relationships
Haoqi Li +3 more
doaj +1 more source
On the global dynamics of a model for tumor immunotherapy
Understanding the dynamics of human hosts and tumors is of critical importance. A mathematical model wasdeveloped that explored the immune response to tumors that was used to study a special type of treatment[3]. This treatment approach uses elements of
Denise E. Kirschner, Alexei Tsygvintsev
doaj +1 more source

