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检索条件"机构=Department of Automatic Control Systems and Computer Engineering"
8072 条 记 录,以下是381-390 订阅
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An on-line approach for ANFIS modelling and control of a flexible manoeuvring system
An on-line approach for ANFIS modelling and control of a fle...
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IEEE International Conference on Mechatronics
作者: Omar, M. Mohamad, M. Zaidan, M.A. Tokhi, M.O. Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom
This paper presents an on-line nonlinear dynamic modelling and control approach based on adaptive neuro-fuzzy inference system (ANFIS) for a twin rotor multi-input multi-output system (TRMS), in the vertical plane mot... 详细信息
来源: 评论
The Analysis of biological signals using Machine Learning Techniques  23
The Analysis of biological signals using Machine Learning Te...
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23rd International Conference on control systems and computer Science Technologies, CSCS 2021
作者: Ciocirlan, Marina Udrea, Andreea Lupu, Ciprian University Politehnica of Bucharest Department of Automatic Control and Systems Engineering Bucharest Romania
This paper aims at developing new techniques that study vital functions of the heart by analysing biological signals. ECG prediction is important for many current medical applications. Currently, there are many machin... 详细信息
来源: 评论
A Power-Communication Co-Simulation Platform for Real-Time Microgrid Cyber Security Analysis
A Power-Communication Co-Simulation Platform for Real-Time M...
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2024 International Conference on Artificial Intelligence of Things and systems, AIoTSys 2024
作者: Qiu, Dongmeng Liu, Mengxiang Zhang, Xin University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom
The rapid digitalisation process in power system has greatly benefited the large-scale integration of distributed energy resources (DERs), essentially accelerating the progress towards net zero. However, numerous cybe... 详细信息
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Area Coverage in Two-Dimensional Grid Worlds Using Computation-Free Agents  22nd
Area Coverage in Two-Dimensional Grid Worlds Using Computati...
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22th Annual Conference Towards Autonomous Robotic systems, TAROS 2021
作者: Dhesi, Arjan Groß, Roderich Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield United Kingdom
This work proposes a novel solution to the problem of covering a bounded grid world using a swarm of robotic agents. The controller requires no run-time memory and only few, discrete sensory inputs. Two variants of th... 详细信息
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Reinforcement Learning for Multiple-Input Multiple-Output control in Metal Additive Manufacturing  20
Reinforcement Learning for Multiple-Input Multiple-Output Co...
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20th IEEE International Conference on Networking, Sensing and control, ICNSC 2023
作者: Grais, Emad M. Notley, Scott V. Panoutsos, George University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom
In laser powder bed fusion additive manufacturing, using fixed values for the process parameters (beam power, velocity, and other parameters) may not lead to homogeneously distributed heat in all locations in the buil... 详细信息
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Self-Organising Fuzzy Logic control with a new on-line Particle Swarm Optimisation-based supervisory layer  6
Self-Organising Fuzzy Logic Control with a new on-line Parti...
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6th International Conference on Fuzzy Computation Theory and Applications, FCTA 2014, Part of the 6th International Joint Conference on Computational Intelligence, IJCCI 2014
作者: Ehtiawesh, M. Mahfouf, M. Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom
The Self-Organising Fuzzy Logic control (SOFLC) which is an extended version of the Fuzzy logic controller was designed to make Fuzzy controllers work with less dependency on previous knowledge. Since the introduction... 详细信息
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Learning Input Driven Dynamic Bayesian Networks with Measurement Noise  23
Learning Input Driven Dynamic Bayesian Networks with Measure...
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23rd IEEE International Conference on Machine Learning and Applications, ICMLA 2024
作者: Veres, David Li, Ping Kadirkamanathan, Visakan The University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom
Dynamic Bayesian Networks (DBNs) are useful tools for modelling complex systems whose network representations can be elicited a priori or learnt from data. In this paper, a maximum likelihood Doubly-Iterative Expectat... 详细信息
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Adaptive biologically-inspired algorithm-based controller tuning for input tracking control of flexible manipulators
Adaptive biologically-inspired algorithm-based controller tu...
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IEEE International Conference on Cybernetic Intelligent systems
作者: Supriyono, H. Tokhi, M.O. Zain, B.A.Md. Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom
This paper discusses current work on the input tracking control of single-link flexible manipulator systems. Joint-based control (JBC) is tuned using bacterial foraging algorithm (BFA). The objective of the work is to... 详细信息
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Online Scene Visibility Estimation as a Complement to SLAM in UAVs  22nd
Online Scene Visibility Estimation as a Complement to SLAM ...
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22th Annual Conference Towards Autonomous Robotic systems, TAROS 2021
作者: Haggart, Rory Aitken, Jonathan M. Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom
Simultaneous localisation and mapping (SLAM) relies on low-cost on-board sensors such as cameras and inertial measurement units. It is crucial that the surroundings are visible to the cameras to maximise the accuracy ... 详细信息
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Optimized Spatial Filter Selection for Transfer Learning in Brain-computer Interface  3
Optimized Spatial Filter Selection for Transfer Learning in ...
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3rd IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural engineering, MetroXRAINE 2024
作者: A A Mohamed, Mohamed Giles, Joshua Arvaneh, Mahnaz University of Sheffield Automatic control and Systems Engineering Department Sheffield United Kingdom
The Common Spatial Patterns (CSP) algorithm has shown great efficacy in extracting features for Brain-computer Interfaces (BCIs), particularly in motor imagery BCIs. However, CSP performs poorly when dealing with limi... 详细信息
来源: 评论