Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2009-11-30
Nonlinear Sciences
Adaptation and Self-Organizing Systems
26 pages, 10 figures, technical (internal) report of the Dipartimento di sistemi e Informatica, Universita' di Firenze
Scientific paper
The paper faces the problem of scheduling from a new perspective, trying to bridge the gap between classical heuristic approaches and system identification and control strategies. To this aim, a complete mathematical formulation of a general scheduling process is derived, beginning from very broad assumptions. This allows a greater freedom of manipulation and guarantee the resolution of the identification (and control) techniques. Both an adaptive and a switching strategies are presented in relation to the performances of a simple Round Robin algorithm.
Innocenti Giacomo
Pretini Luca
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