Intelligence Dumping into Autonomous Robotic Systems for Higher Autonomy

Abstract:

More global decision making delegation should be given today man made systems with large number of heterogeneous components and high complexity. A new paradigm is proposed for mix of power and information fluxes at task control level for goal accomplishment, with associated trajectory manifold resulting from system self-organization. It rests upon system invariants characterizing Complex Systems (CS) dynamics, and uses qualitative methods independent of system state dimension privileging robustness to compensate impreciseness of system parameters and functional variations. A well defined control law is constructed in explicit terms from mathematical representation of system dynamics, guaranteeing both asymptotic stability and robustness. A “determinism” criterion for autonomous system is considered with evaluation of resulting constraints on system parameters. Proposed merging of Complex Systems with Information Technologies (IT) provides a first step toward system autonomous intelligence.

• Periodical: Applied Mechanics and Materials (Volumes 548-549)
• Pages: 933-938
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.548-549.933
• Online since: April 2014
• Authors: Michel Cotsaftis
• Keywords: Complex System, Fixed Point Theorem, System Intelligence, Task Control

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