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Article
Special issue on computational intelligence-based modeling, control and estimation in modern mechatronic systems
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Article
Enhanced myoelectric control against arm position change with weighted recursive Gaussian process
In the last decade, there has been huge advancement in biomechatronic systems by the integration of pattern recognition and regression algorithms. In many myoelectric control studies, high accuracy in estimati...
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Article
Introduction to the focused section on new trends in modelling and simulation for intelligent robotics
Advanced functional materials, drives and transmissions, sensors and mechanisms provide solid foundations for develo** intelligent robots, for which modelling and simulation tools have contributed greatly to...
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Article
A new intelligent pattern classifier based on deep-thinking
A new intelligent pattern classifier based on the human being’s thinking logics is developed in this paper, aiming to approximate the optimal design process and avoid the matrix inverse computation in conventi...
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Article
Fast nonsingular terminal sliding mode control for permanent-magnet linear motor via ELM
In this paper, a novel fast nonsingular terminal sliding mode (FNTSM) control strategy using extreme learning machine (ELM) is proposed for permanent-magnet linear motor systems. It is shown that the developed...
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Article
Extreme-learning-machine-based FNTSM control strategy for electronic throttle
A novel extreme-learning-machine-based robust control scheme for automotive electronic throttle systems with uncertain dynamics is presented in this paper. It is shown that the well-known extreme learning mach...
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Chapter and Conference Paper
Early Diagnosis of Alzheimer’s Disease by Ensemble Deep Learning Using FDG-PET
Early diagnosis of Alzheimer’s disease (AD) is critical in preventing from irreversible damages to brain cognitive functions. Most computer-aided approaches consist of extraction of image features to describe ...
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Article
Open AccessAutomated identification of dementia using medical imaging: a survey from a pattern classification perspective
In this review paper, we summarized the automated dementia identification algorithms in the literature from a pattern classification perspective. Since most of those algorithms consist of both feature extract...
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Article
Neural-network-based robust control for steer-by-wire systems with uncertain dynamics
This study develops a neural-network-based robust control scheme for steer-by-wire systems with uncertain dynamics. The proposed control consists of a nominal control and a nonsingular terminal sliding mode c...
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Article
A robust training algorithm of discrete-time MIMO RNN and application in fault tolerant control of robotic system
In this paper, a novel robust training algorithm of multi-input multi-output recurrent neural network and its application in the fault tolerant control of a robotic system are investigated. The proposed scheme...