Nervousness in Dynamic Self-organized Holonic Multi-agent Systems

  • José Barbosa
  • Paulo Leitão
  • Emmanuel Adam
  • Damien Trentesaux
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 156)


New production control paradigms, such as holonic and multi-agent systems, allow the development of more flexible and adaptive factories. In these distributed approaches, autonomous entities possess a partial view of the environment, being the decisions taken from the cooperation among them. The introduction of self-organization mechanisms to enhance the system adaptation may cause the system instability when trying to constantly adapt their behaviours, which can drive the system to fall into a chaotic behaviour. This paper proposes a nervousness control mechanism based on the classical Proportional, Integral and Derivative feedback loop controllers to support the system self-organization. The validation of the proposed model is made through the simulation of a flexible manufacturing system.


Manufacturing System Optimal Plan Individual Entity Nervousness Control Autonomous Entity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • José Barbosa
    • 1
    • 2
    • 3
  • Paulo Leitão
    • 1
    • 4
  • Emmanuel Adam
    • 2
    • 5
    • 6
  • Damien Trentesaux
    • 2
    • 3
  1. 1.Polytechnic Institute of BragançaBragançaPortugal
  2. 2.Univ. Lille Nord de FranceLilleFrance
  3. 3.TEMPO research centerUVHCValenciennesFrance
  4. 4.LIACC - Artificial Intelligence and Computer Science LaboratoryPortoPortugal
  5. 5.UVHC, LAMIHValenciennesFrance
  6. 6.CNRS, FRE 3304ValenciennesFrance

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