Title :
Adaptive control using Heisenberg bidding
Author :
Karlsson, Niklas
Author_Institution :
R&D at Aol Networks, Palo Alto, CA, USA
Abstract :
We propose an actuator mechanism to enable and improve scalable control of bidding based networks. The mechanism is a bid randomization strategy referred to as Heisenberg bidding, which is used to modify the effective plant gain of a system involving a large number of similar objects distributed via an auction exchange. The bid randomization mechanism is used in a time-varying model-reference adaptive controller and applied to a problem of satisfying traffic commitments in the content network of a major web portal.
Keywords :
Internet; model reference adaptive control systems; portals; telecommunication control; telecommunication traffic; time-varying systems; Heisenberg bidding; actuator mechanism; auction exchange; bid randomization mechanism; bid randomization strategy; bidding based networks; content network; effective plant gain; major web portal; scalable control; time-varying model-reference adaptive controller; traffic commitments; Adaptation models; Adaptive systems; Approximation methods; Heuristic algorithms; Internet; Robustness; Uncertainty; Adaptive systems; Control of networks; Emerging control applications;
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-3272-6
DOI :
10.1109/ACC.2014.6859107
