Quantum-Inspired Integral Neural Control and Topological Instruction Encoding for Autonomous Defense Satellites in Adversarial Environments

Abstract

This paper introduces a hybrid quantum-inspired control framework integrating Quantum-Inspired Integral Neural Networks (QIINNs), the domain-specific mission language QSatLang, and the topological instruction set Mejorasm++. The architecture targets autonomous defense satellites exposed to adversarial dynamics in near-Earth orbit. By combining functional learning, topological execution and symbolic abstraction, the proposed system exceeds the resilience, explainability, and adaptability of PID and MPC-based architectures under highuncertainty regimes.

Keywords: Quantum-Inspired Control, QIINN, QSatLang, Mejorasm++, Autonomous Satellites, Topological Instruction Set, Path Integrals, Defense Systems, Symbolic Planning, Robust AI