Results 31 to 40 of about 26,195,333 (320)

A multi-level fuzzy control design for general nonlinear multi-input single-output systems

open access: yesNAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society, 2008
In this paper, an adaptive fuzzy controller is developed for general multi-input single-output (MISO) nonlinear systems with time-varying characteristics and unknown system uncertainties. The system dynamics is modeled in fuzzy domain and the fuzzy inverse model is automatically constructed, which has the ability of uniquely determining the inverse ...
Cheng-Yi Xu, Y. Shin
semanticscholar   +3 more sources

Design of a multi-rate control system in state-space representation using input redundancy

open access: yesNihon Kikai Gakkai ronbunshu, 2019
This paper discusses a design method for controlling a single-input single-output linear time-invariant sampled-data multi-rate control system, where the sampling interval of a plant output is longer than the holding interval of a control input.
Ryota YASUI   +4 more
doaj   +1 more source

Multi-input multi-output fractional-order control of an underactuated continuum mechanism

open access: yesInternational Journal of Advanced Robotic Systems, 2020
This article treats the design and implementation of a multi-input multi-output fractional-order controller for a nonlinear system composed of a tendon-driven continuum mechanism.
Bastian Deutschmann   +2 more
doaj   +1 more source

Deep convolutional neural networks for short-term multi-energy demand prediction of integrated energy systems

open access: yesInternational Journal of Electrical Power & Energy Systems
Forecasting power consumptions of integrated electrical, heat and gas network systems is essential in order to operate more efficiently the multi-energy network system.
Corneliu Arsene, Alessandra Parisio
doaj   +1 more source

Tuning and Feasibility Analysis of Classical First-Order MIMO Non-Linear Sliding Mode Control Design for Industrial Applications

open access: yesMachines, 2019
Model-based control techniques have been gaining more and more interest these days. These complex control systems are mostly based on theories, such as feedback linearization, model predictive control, adaptive and robust control.
Alessandro Palmieri   +6 more
doaj   +1 more source

Blind correlation-based DFE receiver for the equalization of single input multi output communication channels [PDF]

open access: yes, 2009
In this paper, the correlation-based decision feedback equalizer (DFE), where the received data from multiple antennas are processed by a multi-dimensional matched filter and then combined prior to the equalization with a single input single output DFE ...
A. Coskun, I. Kale, Kale, I., Coskun, A.
core   +1 more source

Near-field 3D SAR Imaging Techniques Using a Scanning MIMO Array

open access: yesLeida xuebao, 2018
Near-field 3-D imaging based on a scanning array is an important application of Synthetic Aperture Radar (SAR) 3-D imaging technology for civil use. Compared with Single-Input-Single-Output (SISO) arrays, a Multi-Input-Multi-Output (MIMO) scanning system
Gao Jingkun   +4 more
doaj   +1 more source

An improved whale optimization algorithm for the model order reduction of large-scale systems

open access: yesJournal of Electrical Systems and Information Technology, 2023
An improved whale optimization algorithm (IWOA) is developed for the model order reduction (MOR) of large-scale systems (LSS) in this paper. An equivalent reduced order model (ROM) for the higher-order system (HOS) is derived by considering integral ...
Dasu Butti   +9 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

A Gain-Scheduling PI Control Based on Neural Networks

open access: yesComplexity, 2017
This paper presents a gain-scheduling design technique that relies upon neural models to approximate plant behaviour. The controller design is based on generic model control (GMC) formalisms and linearization of the neural model of the process.
Stefania Tronci, Roberto Baratti
doaj   +1 more source

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