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Special issue on computational intelligence-based modeling, control and estimation in modern mechatronic systems
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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
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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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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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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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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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...