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A Volume Integral Equation Method for the Direct/Inverse Problem in Elastic Wave Scattering Phenomena

A Volume Integral Equation Method for the Direct/Inverse Problem in Elastic Wave Scattering Phenomena

Terumi Touhei | Engineering
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Format: PDF
Published: Dec 2013
Downloads: 20
Pages: 34

An approach on the direct/inverse issue of Elastic Wave Scattering Phenomena utilizing a volume integral equation method

Swarm Intelligence Applications in Electric Machines

Swarm Intelligence Applications in Electric Machines

Amr M. Amin, Omar T. Hegazy | Engineering
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Format: PDF
Published: Dec 2013
Downloads: 36
Pages: 39

The development of the characteristics of Particle Swarm Optimization (PSO) for applications in electric drives.


Walking Gait Planning And Stability Control

Walking Gait Planning And Stability Control

Chenbo Yin, Jie Zhu, Haihan Xu | Engineering
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Format: PDF
Published: Dec 2013
Downloads: 8
Pages: 37

This is a study about walking gait planning and Stability control using a balance controller consisting of an off-line walk pattern planner and a real-time modification

Stable Walking Pattern Generation for a Biped Robot Using Reinforcement Learning

Stable Walking Pattern Generation for a Biped Robot Using Reinforcement Learning

Jungho Lee, Jun Ho Oh | Engineering
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Format: PDF
Published: Dec 2013
Downloads: 13
Pages: 33

The purpose of this research is to generate a method of Walking Patterns on Biped Robot Using Reinforcement Learning

Parameter Estimation Over Noisy Communication Channels in Distributed Sensor Networks

Parameter Estimation Over Noisy Communication Channels in Distributed Sensor Networks

Thakshila Wimalajeewa, Sudharman K. Jayaweera, Car | Engineering
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Format: PDF
Published: Dec 2013
Downloads: 14
Pages: 35

A study to devise an estimate for a deterministic parameter in Distributed Sensor Networks addressing the problem of muti-sensor data fusion over noisy communication channels.


Adaptive Control for a Class of Non-affine Nonlinear Systems via Neural Networks

Adaptive Control for a Class of Non-affine Nonlinear Systems via Neural Networks

Zhao Tong | Engineering
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Format: PDF
Published: Dec 2013
Downloads: 15
Pages: 37

An overview on general classes of nonlinear systems based on mathematical theories and Lyapunov stability theories developed for applications to a controlled plant in a class of non-affine nonlinear implicit function and smooth with consideration to the control input.

On the Adaptive Tracking Control of 3-D Overhead Crane Systems

On the Adaptive Tracking Control of 3-D Overhead Crane Systems

Jung Hua Yang | Engineering
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Format: PDF
Published: Dec 2013
Downloads: 11
Pages: 31

A study on the application of a nonlinear adaptive control law for the motion control of overhead crane utilizing a Lyapunov-based stability analysis to achieve asymptotic tracking of the crane position and stabilization of payload sway angle for an overhead crane system

Design Considerations for Long Endurance Unmanned Aerial Vehicles

Design Considerations for Long Endurance Unmanned Aerial Vehicles

Johan Meyer, Francois du Plessis, Willem Clarke | Engineering
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Format: PDF
Published: Nov 2013
Downloads: 42
Pages: 55

Traditionally the field of inertial navigation systems was limited to high cost applications. However, recent advances in low cost MEMS based inertial sensors have resulted in the development of inertial navigations systems for the commercial market. The availability of these low cost navigation...


Lipschitzian Parameterization-Based Approach for Adaptive Controls of Nonlinear Dynamic Systems with Nonlinearly Paramet

Lipschitzian Parameterization-Based Approach for Adaptive Controls of Nonlinear Dynamic Systems with Nonlinearly Paramet

N.V.Q. Hung, H.D. Tuan, T. Narikiyo | Engineering
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Format: PDF
Published: Dec 2013
Downloads: 7
Pages: 31

The study of a new adaptive control framework which applies to any nonlinearly parameterized system satisfying a general Lipschitzian property allowing the extension on the scope of adaptive control to handle very general control problems of Nonlinearly Parameters

The Artificial Neural Networks Applied to Servo Control Systems

The Artificial Neural Networks Applied to Servo Control Systems

Yuan Kang, Yi-Wei Chen, Ming-Huei Chu, Der-Ming Ch | Engineering
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Format: PDF
Published: Dec 2013
Downloads: 41
Pages: 37

A study in the applications of direct neural control (DNC) based on back propagation neural networks (BPN) with specialized learning architecture applied to the speed control of DC servo motor.

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