This paper presents the development of a rehabilitation robotic platform to research on the adaptation of the complexity of robot assisted therapy and the real-time displays of a virtual reality system in accordance w...
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This paper investigates the development of an adaptive neuro-active vibration control (AVC) mechanism for vibration suppression of a flexible plate structure. An Elman recurrent neuro-controller is designed to charact...
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This paper proposes a coherence analysis based approach, which can be used to determine the location of nonlinear component in MDOF systems when the systems are under a random loading condition. The results of numeric...
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Ray tracing on parallel hardware has recently benefit from significant advances in the graphics hardware and associated software tools. Despite this, the SIMD nature of graphics card architectures is only able to perf...
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control of a spatiotemporal field with mobile agents has received considerable recent interest. A key problem in this area is the tendency of agents to become static once a local control objective is met. To overcome ...
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This paper presents an investigation into the development of an augmented control scheme for vibration suppression and rigid body motion of a twin rotor multi-input multi-output system (TRMS) in hovering mode. The aug...
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A typical method for rule reduction of a PID fuzzy controller is to divide the three-term into two separate PD and PI parts. A further reduction is possible if the controller is switched from PD to PI-type after a cer...
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A globally recognised need is felt since entering the 21 st century for approaches to deal with environmental concerns such as global warming and energy issues arising from the emission of different types of fuels and...
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ISBN:
(纸本)9814291269
A globally recognised need is felt since entering the 21 st century for approaches to deal with environmental concerns such as global warming and energy issues arising from the emission of different types of fuels and consequential heat transfer. As a countermeasure, next-generation vehicles for a recycling-based society have to be energy-efficient, compact, light, low-cost and reliable. This work carries out energy analysis for a novel design of a two-wheeled vehicle with an intermediate body (IB). The IB of the vehicle is composed of two co-axial parts connected by a linear actuator and with a payload attached to the end of the upper part. The linear actuator allows the payload to move up and down along the ill of the vehicle. Based on Lagrangian dynamics, the system equations of motion are derived and an energy based control approach is developed.
Learning of large-scale neural networks suffers from computational cost and the local minima problem. One solution to these difficulties is the use of modular structured networks. Proposed here is the learning of modu...
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Learning of large-scale neural networks suffers from computational cost and the local minima problem. One solution to these difficulties is the use of modular structured networks. Proposed here is the learning of modular networks using structural learning with forgetting. It enables the formation of modules. It also enables automatic utilization of appropriate modules from among the previously learned ones. This not only achieves efficient learning, but also makes the resulting network understandable due to its modular character. In the learning of a Boolean function, the present module acquires information from its subtask module without any supervision. In the parity problem, a previously learned lower-order parity problem is automatically used. The geometrical transformation of figures can be realized by a sequence of elementary transformations. This sequence can also be discovered by the learning of multi-layer modular networks. These examples well demonstrate the effectiveness of modular structured networks constructed by structural learning with forgetting.
The basic evolutionary programming (BEP) method utilizes individual parent fitness to generate offspring. This is objectionable in many optimization problems, where the fitness value grows rapidly with problem dimensi...
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