A model-based robust control design approach for a novel direct-drive planar parallel manipulator aimed at high speed and high precision semiconductor packaging application is *** experimental identification approach ...
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A model-based robust control design approach for a novel direct-drive planar parallel manipulator aimed at high speed and high precision semiconductor packaging application is *** experimental identification approach is proposed to determine the dynamic model of the manipulator and a robust feedback controller is designed in the frequency-domain using genetic *** results demonstrate that the motion performance of the planar parallel manipulator including positioning accttracy,settling time and steady- state error is improved significantly when compared with traditional XY *** shows that the proposed planar manipulator provides a superior alternative to the traditional XY stages for high- precision motion.
In this paper an active suspension system which guarantees passenger comfort in normal cruising and rollover prevention in emergencies is proposed. In the control design the changes in forward velocity, the normalised...
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A multi-level model, that provides a hierarchically structured description of a complex, multi-scale limb system is proposed in this paper for predicting and analyzing movement patters generated by various activation ...
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In telepresence, it is critical for the local user to control the remote agent's movement through his own locomotion in order to ensure a high degree of realism. Since the local user's environment is normally ...
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A diagnostic expert system established on model-based reasoning for on-line diagnosis and loss prevention is described in the paper. Its diagnostic "cause-effect" rules and possible actions (suggestions) are...
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In the paper, a novel Neuro-Fuzzy Kolmogorov's Network (NFKN) is considered. The NFKN is based on the famous Kolmogorov's superposition theorem (KST). The network consists of two layers of neo-fuzzy neurons (N...
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ISBN:
(纸本)3885794012
In the paper, a novel Neuro-Fuzzy Kolmogorov's Network (NFKN) is considered. The NFKN is based on the famous Kolmogorov's superposition theorem (KST). The network consists of two layers of neo-fuzzy neurons (NFNs) and is linear in both the hidden and output layer parameters, so it can be trained with very fast and simple procedures without any nonlinear operations. The validity of theoretical results and the advantages of the NFKN are confirmed by application examples: electric load forecasting, and classification of data from medical and banking domains.
The optical behaviour of the (human) cornea is often characterized with the Zernike-coefficients derived via the Zernike-transform of its optical power map. in this paper, a radial transform based on the Chebyshev-pol...
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An adaptive radial basis function (RBF) neural network model is developed in this paper for nonlinear systems using the recursive orthogonal least squares (ROLS) algorithm. The model is used in a nonlinear model predi...
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A multi-level model, that provides a hierarchically structured description of a complex, multi-scale limb system is proposed in this paper for predicting and analyzing movement patters generated by various activation ...
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A multi-level model, that provides a hierarchically structured description of a complex, multi-scale limb system is proposed in this paper for predicting and analyzing movement patters generated by various activation signals. The levels, the sub-models on each level and their interconnections are developed and described following a systematic modelling procedure. The computational properties (degree of freedom and differential index) of the developed model have been analyzed and a sub-model has been transformed to meet the index-one requirement for solving the resulting differential algebraic equation (DAE) model by standard methods implemented in MATLAB. The model is extensively verified against engineering expectations using parameter values found in the literature, and a good agreement was found. Parameter sensitivity analysis has also been performed.
Recent advances and research trends for intelligent vehicles were studied. Vehicle-state sensing focuses on measuring a vehicle's movement and monitoring its actuators. Individual-vehicle-controlresearch focuses ...
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Recent advances and research trends for intelligent vehicles were studied. Vehicle-state sensing focuses on measuring a vehicle's movement and monitoring its actuators. Individual-vehicle-controlresearch focuses mainly on guaranteeing driving safety. The results suggest that intervehicle, vehicle-roadside, and vehicle-driver information sharing currently the most attractive trend in intelligent-vehicle research.
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