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AI in Hypersonic Flight Control (Adaptive RL for Stability & Safety)

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Delivery Mode
Virtual / Online
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Level
Moderate
⏱️
Duration
3 Days
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Certificate
Mentor Based
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Language
English
Rating
5 Stars
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About Workshop

This 3-day workshop on AI in Hypersonic Flight Control focuses on applying adaptive RL in a safety-first, non-weaponized context. Instead of controller design, it emphasizes hazard analysis, perception and state awareness, V&V planning, governance, and human oversight, guiding participants to build practical artifacts like a requirements matrix, V&V plan, and assurance case for safe high-speed testing.
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Aim

To provide a safety-first, non-weaponized framework for using AI and adaptive RL in hypersonic flight control, focusing on governance, assurance, and human oversight rather than controller design.
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What Participants Will Learn

  • Frame AI/adaptive RL for hypersonic flight within a safety-first, non-weaponized context.

  • Build and document hazards, oversight roles, abort criteria, and geofencing for high-speed test articles.

  • Specify perception and state-awareness requirements without exposing sensitive control algorithms.

  • Draft a V&V plan, test envelopes, and safety monitors for AI-enabled high-speed systems.

  • Outline a safety case and operator SOPs aligned with governance and certification thinking.

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Structure

📅 Day 1 – Safety, Ethics & High-Speed Flight Basics (Non-Weaponized)

  • Where AI fits in safety-critical aerospace: hazard analysis, “human-on-the-loop,” and oversight.
  • High-level aerothermodynamics concepts (no design details): why high speeds amplify uncertainty and sensing challenges.
  • Assurance artifacts: requirements traceability, safety cases, and model/system cards.
  • Hands-on: Build a policy-aware requirements matrix and hazard log for a benign high-speed test article (e.g., generic aero model) focusing on oversight, abort criteria, and geofencing.

📅 Day 2 – Robust Perception & State Awareness (Conceptual)

  • Sensor integrity at high dynamic pressure: fault concepts, latency awareness, and graceful degradation (no algorithms).
  • Observability at a glance: what it means to estimate states safely without revealing implementation.
  • Validation & test planning: scenario coverage, limits, and transparency for operators and regulators.
  • Hands-on: Draft a verification & validation (V&V) plan: define test envelopes, safety monitors, and operator intervention thresholds for a conceptual high-speed vehicle.

📅 Day 3 – Governance, Certification & Human Oversight

  • Standards and certification thinking for AI components (conceptual): documentation, audits, incident reporting.
  • Envelope thinking without controllers: defining stay-out zones, rate limiters, and conservative defaults.
  • Human-machine interfaces: alerting, explainability for operators, and abort workflows.
  • Hands-on: Assemble an assurance case outline (safety case) with roles, evidence to collect, and an operator SOP for safe testing and shutdowns.

Important Dates

Registration Ends

4:30 PM

Workshop Dates

2025-12-08
5:30 PM
5:30 PM
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What You Will Gain

Sample Certificate
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Outcomes

  • Apply a safety-first, non-weaponized framework for AI/RL in hypersonic flight.

  • Create core assurance artifacts: requirements matrix, hazard log, V&V plan, and safety case outline.

  • Define safe envelopes, stay-out zones, geofencing, and abort criteria for high-speed tests.

  • Design human-on-the-loop oversight with clear alerts, intervention thresholds, and shutdown workflows.

  • Navigate governance and certification thinking for AI in sensitive aerospace systems.

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Who Should Attend

  • Engineers & researchers in aerospace, mechanical, electrical, controls, or related fields

  • AI/ML & RL practitioners interested in safety-critical aerospace applications

  • Flight test, safety, governance, and certification professionals

  • Senior students, faculty, and industry R&D teams working on hypersonic or high-speed systems

DR G. RESHMA

Assistant Professor

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