: The stability properties of six different adaptive schemes with respect to model error are analyzed. Bounds on parameter identification and state errors are established. All adaptive schemes considered are robust in the sense that the... more
: The stability properties of six different adaptive schemes with respect to model error are analyzed. Bounds on parameter identification and state errors are established. All adaptive schemes considered are robust in the sense that the error is of order of the speed ratio micron between the modeled slow phenomena vs. the neglected fact. The dependence of the error on the input signal is shown to be crucial. The bounds obtained indicate possibilities for reducing the error by a proper choice of the input signal. (Author)
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Author(s): Ioannou, Petros; Giuliano, Genevieve; Dessouky, Maged; Chen, Pengfei; Dexter, Sue | Abstract: The current freight transportation network is highly unbalanced as routing decisions are made by individual users without... more
Author(s): Ioannou, Petros; Giuliano, Genevieve; Dessouky, Maged; Chen, Pengfei; Dexter, Sue | Abstract: The current freight transportation network is highly unbalanced as routing decisions are made by individual users without coordination. Certain routes may become congested when chosen based on current traffic information without any anticipation that if other users do the same, these routes are no longer the best. This project developed a centrally coordinated load balancing system that considers all user demands and generates individual routes that balance freight loads across the network by minimizing cost. It is initially assumed that all vehicles are diesel and then gradually increases zero emissions vehicles such as electric trucks for a mixed fleet of trucks. The electric trucks add additional constraints due to limitation of range and charging time of batteries. As the number of electric trucks increases, the emissions reduce as expected; however, the cost of charging does...
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The control of large segmented telescopes is a challenging one due to the complexity and high order of the system. The high order dynamics lead to high order controllers that require more memory and faster computations for implementation.... more
The control of large segmented telescopes is a challenging one due to the complexity and high order of the system. The high order dynamics lead to high order controllers that require more memory and faster computations for implementation. While this may not pose a serious problem for a small number of segments, as the number of segments increases the computational