Cellular Neural Networks Based Time-Series Approximation for Real Time Systems’ Modeling-and-Identification and Behavior Forecast in Transportation: Motivation, Problem Formulation, and Some Research Avenues

Chedjou, Jean Chamberlain; Kyamakya, Kyandoghere

doi:10.1007/978-3-642-24806-1_19

Cited by 1 publication

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“…A relatively complex concept, that we have called NAOP [16], has been developed and validated, which enables the efficient and precise computing of the related templates of the CNN model. This concept has been extensively presented and discussed in a paper indicated in reference [17].…”

Section: A Time Series Based System Modeling-and-identification Invomentioning

confidence: 99%

Nonlinear Dynamics in Transportation -- A Comprehensive System-Theoretical Perspective

Kyamakya

Chedjou

2013

2013 19th International Conference on Control Systems and Computer Science

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In this paper, a series of system-theoretical issues in the frame of a traffic systems engineering are comprehensively addressed and discussed with a particular focus on a nonlinear dynamics perspective. Transportation systems are complex (systems of systems) nonlinear dynamical systems and their comprehensive engineering does involve amongst others the following steps: modeling/identification, simulation, systemstate observation/measurement, and control/optimization. The particular message of this paper is that a significant improvement can be reached on each of these fronts, while compared to most related traditional approaches, by involving a series of adapted/optimized methodological instruments inspired and/or taken from the broad area of nonlinear dynamics, which also includes neuro-computing. For each of the above-cited steps, related limitations of most traditional approaches are presented. To finish, a selection of own novel contributions on each of the steps are shortly presented for illustrative purposes.

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Section: A Time Series Based System Modeling-and-identification Invomentioning

confidence: 99%

Nonlinear Dynamics in Transportation -- A Comprehensive System-Theoretical Perspective

Kyamakya

Chedjou

2013

2013 19th International Conference on Control Systems and Computer Science

Self Cite

View full text Add to dashboard Cite

show abstract

Cellular Neural Networks Based Time-Series Approximation for Real Time Systems’ Modeling-and-Identification and Behavior Forecast in Transportation: Motivation, Problem Formulation, and Some Research Avenues

Cited by 1 publication

References 16 publications

Nonlinear Dynamics in Transportation -- A Comprehensive System-Theoretical Perspective

Nonlinear Dynamics in Transportation -- A Comprehensive System-Theoretical Perspective

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