This paper present the development of paraplegic quadriceps muscle model based on Functional Electrical Stimulation (FES). A type of modeling, Artificial Neural Network (ANN) were used to investigate the impact of dif...
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This paper present the development of paraplegic quadriceps muscle model based on Functional Electrical Stimulation (FES). A type of modeling, Artificial Neural Network (ANN) were used to investigate the impact of different stimulation frequency, pulse width, pulse duration and settling time on the movement of quadriceps muscle with paraplegia due to a spinal cord injury. 361 training data and 300 testing data set are used in the development of muscle model. Two type of learning approach which is feed-forward backpropagation and cascade-forward backpropagation are considered to develop quadriceps muscle model. The developed model then, validated with clinical data. The model of muscle presented is able to accurately predict muscle torque outputs, along with the variability of the identified parameter. In this study, the feed-forward NN muscle model is found to be the most accurate muscle model representing paraplegic quadriceps muscle model. The established model is then used to predict the behaviour of the underlying system and will be used in the future for the design and evaluation of various control strategies.
Stimulation trains of different combination of frequency and pulse-width can be used to generate the muscle force required to perform a functional task during functional electrical stimulation (FES). However, with rep...
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This paper presents the development of paraplegic hamstrings muscle model with Adaptive Neuro-Fuzzy Inference system (ANFIS). A series of experiments using Functional Electrical Stimulation (FES) with different stimul...
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This work deals with the main control problems found in solar power systems and the solutions proposed in literature. The paper first describes the main solar power technologies, its development status and then descri...
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In this study, the concept of Output Frequency Response Functions (OFRFs) is applied to represent the transmissibility of nonlinear isolators in frequency domain. With the OFRFs estimated from numerical simulation res...
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In this study, the concept of Output Frequency Response Functions (OFRFs) is applied to represent the transmissibility of nonlinear isolators in frequency domain. With the OFRFs estimated from numerical simulation responses, an explicit analytical relationship between the transmissibility and the nonlinear characteristic parameters is derived for a wide class of nonlinear isolators that have nonlinear anti-symmetric damping characteristics and a comprehensive pattern about how the nonlinear damping characteristic parameters might affect the force and displacement transmissibility is built for the vibration isolators. The results reveal that it is reasonable to analyze the force and displacement transmissibility of the nonlinear isolators by simply investigating the fundamental harmonic components of the force and displacement outputs of the nonlinear isolators, and the introduction of a nonlinear anti-symmetric damping into vibration isolators can significantly suppress both the force and displacement transmissibility over the resonant frequency region, but has almost no effect on the transmissibility at non-resonant regions. These conclusions are of significant importance in the analysis and design of the nonlinear vibration isolators with nonlinear anti-symmetric damping.
This paper describes the control strategies to be adopted for the operation of a MicroGrid when it operates isolated from the main grid (that is, in Islanded Operation). The MicroGrids studied here comprise a variety ...
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This paper describes the control strategies to be adopted for the operation of a MicroGrid when it operates isolated from the main grid (that is, in Islanded Operation). The MicroGrids studied here comprise a variety of inverter-interfaced distributed energy sources (typically, photovoltaic arrays, wind turbines and diesel generators), together with energy storage devices (batteries) and controllable loads. Some simulation results obtained with the presented control scheme are presented.
This paper presents a comparative study for seismic vibration control algorithms. While the controlled object is nonlinear, has multiple inputs and multiple outputs, often with multiple degrees of freedom, a high impo...
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FIR (finite impulse response) model is widely used in tackling the problem of the impulse response estimation with quantized measurements. Its use is, however, limited, in the case when a high order FIR model is requi...
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In this paper, fuzzy logic controller is designed for balancing a two-wheeled inverted pendulum robot prototype considering the tilt angle as feedback. Tilt angle sensing error is reduced by adopting a sensor fusion t...
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In this paper, fuzzy logic controller is designed for balancing a two-wheeled inverted pendulum robot prototype considering the tilt angle as feedback. Tilt angle sensing error is reduced by adopting a sensor fusion technique. The controller is implemented on an AVR 8-bit microcontroller. The Fuzzy rules are coded and stored in the microcontroller memory. The experimental results show that the robot has the ability to balance during its movement.
This paper describes an application in home automation based on wireless sensor network for monitoring of an electrical network in the consumption and quality of supply energy. The system allows scalability and flexib...
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This paper describes an application in home automation based on wireless sensor network for monitoring of an electrical network in the consumption and quality of supply energy. The system allows scalability and flexibility with low cost. When installing sensors in each plug, it is possible to draw a map of the building to see areas where there is greater demand for electricity as well as places where there is too much distortion. Gateway is configured for the IEEE 802.15.4 to IEEE 802.3 and MATLAB was used to monitor data. The calculations of power and harmonic distortion are performed on each sensor.
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