Adaptive Fine-tuning for Large-scale Nonlinear Control Systems


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  • Product Description

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 achievable with the utilized control strategy. The proposed Adaptive Fine Tuning (AFT) algorithm is aiming at replacing the conventional manual optimization practice with a fully automated online procedure.

Product Specifications
SKU :COC65654
AuthorAnastasios Kouvelas
Number of Pages156
Publishing Year2013-06-28T00:00:00.000
Edition1 st
Book TypeComputer networking & communications
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-08 00:00:00
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