MOdelling hybrid control systems with behaviour networks

We present an approach to model adaptive, dynamic hybrid control systems based on behaviour networks. We extend and modify the approach to behaviour networks with integrity constraints, non-ground rules, internal actions, and modules to make it self-adaptive and dynamic. The proposed approach is general, reconfigurable, robust, and suitable for environments that are dynamic and too complex to be entirely predictable, the controlling system having limited computational and time resources.

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