The paper proposes a Quantum-Converged OSI stack with nine layers, adding Layer 0 (Quantum Substrate) and Layer 8 (Cognitive Intent Plane) to the classical OSI model for quantum networks.
A Hybrid Controller for Obstacle Avoidance in an n-dimensional Euclidean Space
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abstract
For a vehicle moving in an $n$-dimensional Euclidean space, we present a construction of a hybrid feedback that guarantees both global asymptotic stabilization of a reference position and avoidance of an obstacle corresponding to a bounded spherical region. The proposed hybrid control algorithm switches between two modes of operation: stabilization (motion-to-goal) and avoidance (boundary-following). The geometric construction of the flow and jump sets of the hybrid controller, exploiting a hysteresis region, guarantees robust switching (chattering-free) between the stabilization and avoidance modes. Simulation results illustrate the performance of the proposed hybrid control approach for a 3-dimensional scenario.
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OSI Stack Redesign for Quantum Networks: Requirements, Technologies, Challenges, and Future Directions
The paper proposes a Quantum-Converged OSI stack with nine layers, adding Layer 0 (Quantum Substrate) and Layer 8 (Cognitive Intent Plane) to the classical OSI model for quantum networks.