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Filtering by: Subject Computer networks Remove constraint Subject: Computer networks Degree Field Mechanical Engineering Remove constraint Degree Field: Mechanical Engineering

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  • Using Automation to Understand Sustainable Design Trade-Offs and to Promote Environmental Sustainability in the Early Design Phase

    Creator:
    Wisthoff, Addison K.
    Abstract:
    Sustainable product design is becoming an important component of the development of consumer products. Currently there are limited design resources to aid in the creation of environmentally sustainable products. The purpose of this research is to theorize a new method for integrating sustainable design knowledge into the early design phase...
    Resource Type:
    Masters Thesis
    Full Text:
    conducted by training an artificial neural network on 37 different consumer products. The results of this

  • A neuro-evolutionary multiagent approach to multi-linked inverted pendulum control

    Creator:
    Sills, Stephen
    Abstract:
    Recent work has shown humanoid robots with spinal columns, instead of rigid torsos, benefit from both better balance and an increased ability to absorb external impact. Similarly, snake robots have shown promise as a viable option for exploration in confined spaces with limited human access, such as during power plant...
    Resource Type:
    Masters Thesis
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . 8 3.1 A graphical representation of a basic feed-forward artificial neural network. The large

  • Learning-based control and coordination of autonomous UAVs

    Creator:
    Bell, Adam R.
    Abstract:
    Uninhabited aerial vehicles, also called UAVs are currently controller by a combination of a human pilot at a remote location, and autopilot systems similar to those found on commercial aircraft. As UAVs transition from remote piloting to fully autonomous operation, control laws must be developed for the tasks to be...
    Resource Type:
    Masters Thesis
    Full Text:
    neural network controller could be evolved over successive generations to produce the desired out

  • Adaptive methods for robust commercial vehicle control

    Creator:
    Junell, Jaime L.
    Abstract:
    This thesis explores the implementation of learning based control with predictive cruise control and the potential this technology has for increasing fuel efficiency while keeping on a well maintained schedule for commercial trucks. Traditional cruise control is wasteful when maintaining a constant velocity over rolling hills. Predictive cruise control is...
    Resource Type:
    Masters Thesis
    Full Text:
    , use inputs that present less information and more generalizations to the neural network. c