Black-Box Fuzzy Identification of a Nonlinear Hydrogen Fuel Cell Model
A fuzzy identification of the dynamical system model is developed upon a data generated by a software simulator of a hydrogen fuel cell. The data presents a black box model, just composed by inputs and outputs, carry no additional information, and ...
Ana Maria Amarillo Bertone +2 more
doaj +1 more source
Security SMC for Networked Fuzzy Singular Systems With Semi-Markov Switching Parameters
In this paper, the issue of security sliding mode control (SMC) is addressed for networked nonlinear singular systems with semi-Markov switching parameters via the Takagi-Sugeno (T-S) fuzzy strategy.
Chunsong Han +6 more
doaj +1 more source
Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation [PDF]
Modeling phase is fundamental both in the analysis process of a dynamic system and the design of a control system. If this phase is in-line is even more critical and the only information of the system comes from input/output data.
Jose Manuel Andujar Marquez +11 more
core +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Fuzzy Symbolic Dynamics for Neurodynamical Systems [PDF]
Neurodynamical systems are characterized by a large number of signal streams, measuring activity of individual neurons, local field potentials, aggregated electrical (EEG) or magnetic potentials (MEG), oxygen use (fMRI) or concentration of radioactive traces (PET) in different parts of the brain.
Krzysztof Dobosz, Wlodzislaw Duch
openaire +1 more source
Approximate Controllability of Semi-linear Fuzzy Dynamical System [PDF]
In this paper we consider a semi-linear dynamical system with fuzzy initial condition. We discuss the results regarding the approximate controllability of the system and existence of the controller which steers the system to the desired state. The theory
, Purnima Pandit
core +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
A new approach to adaptive fuzzy control: the controller output error method [PDF]
The controller output error method (COEM) is introduced and applied to the design of adaptive fuzzy control systems. The method employs a gradient descent algorithm to minimize a cost function which is based on the error at the controller output.
Lotfi, A, Andersen, HC, Tsoi, AC
core
An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek +12 more
wiley +1 more source
Matrix formulation of fuzzy rule-based systems [PDF]
In this paper, a matrix formulation of fuzzy rule based systems is introduced. A gradient descent training algorithm for the determination of the unknown parameters can also be expressed in a matrix form for various adaptive fuzzy networks.
Lotfi, A, Andersen, HC, Tsoi, AC
core

