Год выпуска: 2013 Автор: Anastasios Kouvelas Издательство: LAP Lambert Academic Publishing Страниц: 156 ISBN: 9783659420351
Описание
Despite the continuous advances in the fields of control and computing, the design and deployment of an efficient Large-scale Nonlinear Traffic Control System (LNTCS) remains a significant objective. This is mainly due to the complexity and strong nonlinearities involved in the modeling of traffic flow processes. The ultimate performance of a designed or operational LNTCS depends on two main factors: (a) the exogenous influences, and (b) the values of some design parameters included within the LNTCS. When a new control algorithm is implemented there is a period of, sometimes tedious, fine-tuning activity that is needed in order to elevate the control algorithm to its best achievable performance. Fine-tuning concerns the selection of appropriate values for a number of design parameters included in the control strategy. This thesis introduces and analyzes a new learning/adaptive algorithm that enables automatic fine-tuning of LNTCS, so as to reach the maximum performance that is...