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M  .task/backlog.data

M  .task/pending.data

M  .task/undo.data

A  Writing/ERLM/SaboRisksAndContingencies.pdf

M  Writing/ERLM/broader-impacts/v1.tex

M  Writing/ERLM/main.aux

M  Writing/ERLM/main.fdb_latexmk

M  Writing/ERLM/main.fls
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Dane Sabo 2025-10-27 12:34:41 -04:00
parent 2b8232a17f
commit 59e3923cd2
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time 1761576045
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\subsection{Broader Impacts} \section{Broader Impacts}
Nuclear power presents both a compelling application domain and an urgent Nuclear power presents both a compelling application domain and an urgent
economic challenge. Recent interest in powering artificial intelligence economic challenge. Recent interest in powering artificial intelligence

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\begin{document} \begin{document}
\maketitle \maketitle
% \input{goals-and-outcomes/v6} \input{goals-and-outcomes/v6}
% \input{state-of-the-art/v5} \input{state-of-the-art/v5}
% \input{research-approach/v3} \input{research-approach/v3}
% \input{broader-impacts/v1} \input{metrics-of-success/v1}
% \input{metrics-of-success/v1} \input{risks-and-contingencies/v1}
% \input{broader-impacts/v1}
% \newpage
% \bibliography{references} \newpage
\bibliography{references}
% White Paper % White Paper
\input{whitepaper/v1} % \input{whitepaper/v1}
\end{document} \end{document}

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# Risk and Contingencies Assumptions Exercise
**The outcome I want to achieve is?**
- Turn written reqs into discrete controller
- Build continuous modes that ensure hybrid stability
- Implement on industrial controller with HIL simulation
**What can't anyone solve this today?**
- Nobody has tried to build system like this with stability
in mind from the ground up. NUCE is a specific domain this
is useful. Reliance on human operators for safety.
**The research approach I am using is?**
- Formal Methods + Control Theory
- FRET - Reachability
- Reactive Synthesis
**This research approach relies on these fundamental
principles?**
- Temporal logic precision
- automata
- differential and difference equations
- procedure writing
**The experiment that I will perform is?**
- trying to make an autonomous start up procedure for a
SmAHTR reactor
**The equipment I will use is?**
1. FRET
2. STRIX
3. Simulink
4. Reachability tools
5. Ovation
**I will analyze the results using?**
1. Prose. How hard was this to do, what MacGuyvering needed
done? What TRL?
**The expected outcome of this experiment is?**
1. A working autonomous start up controller can take a
simulation from cold to critical without needing a human
operator to intervene.
**What happens if this experiment does not work?**
1. We'll shift to a smaller, simpler problem where we can
overcome the limits.
**What happens if the hypothesis or prediction is false?**
1. We'll show the gap between current procedure writing and
where we need to be to actually do synthesis.
**What assumptions do I have that, if proven wrong, would
derail this project?**
1. Temporal logic from FRET is easy to synthesize with STRIX
2. I'm not going to have state-space explosion happen
3. Writing a start-up procedure for SmAHTR isn't that hard
4. People give a crap about molten salt reactors
5. This whole discrete boundary thing is not going to be
really hard to implement. The idea is conditions for the
transitions between modes to be boolean variables for
the temporal lgoic, but that they correspond to some surface
in the continuous state space. How am I going to keep track
of that?
6. Computational cost. Center for Research Computing is the
answer.

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\section{Risks and Contingencies}
This research relies on several critical assumptions that, if invalidated,
would require scope adjustment or methodological revision. The primary risks to
successful completion fall into four categories: computational tractability of
synthesis and verification, complexity of the discrete-continuous interface,
completeness of procedure formalization, and hardware-in-the-loop integration
challenges. Each risk has associated indicators for early detection and
contingency plans that preserve research value even if core assumptions prove
false. The staged project structure ensures that partial success yields
publishable results and clear identification of remaining barriers to
deployment.
\subsection{Computational Tractability of Synthesis}
The first major assumption is that formalized startup procedures will yield
automata small enough for efficient synthesis and verification. Reactive
synthesis scales exponentially with specification complexity, which creates risk
that temporal logic specifications derived from complete startup procedures may
produce automata with thousands of states. Such large automata would require
synthesis times exceeding days or weeks, preventing demonstration of the
complete methodology within project timelines. Reachability analysis for
continuous modes with high-dimensional state spaces may similarly prove
computationally intractable. Either barrier would constitute a fundamental
obstacle to achieving the research objectives.
Several indicators would provide early warning of computational tractability
problems. Synthesis times exceeding 24 hours for simplified procedure subsets
would suggest that complete procedures are intractable. Generated automata
containing more than 1,000 discrete states would indicate that the discrete
state space is too large for efficient verification. Specifications flagged as
unrealizable by FRET or STRIX would reveal fundamental conflicts in the
formalized procedures. Reachability analysis failing to converge within
reasonable time bounds would show that continuous mode verification cannot be
completed with available computational resources.
The contingency plan for computational intractability is to reduce scope to a
minimal viable startup sequence. This reduced sequence would cover only cold
shutdown to criticality to low power hold, omitting power ascension and other
operational phases. The subset would still demonstrate the complete
methodology while reducing computational burden. The research contribution
would remain valid even with reduced scope, proving that formal hybrid control
synthesis is achievable for safety-critical nuclear applications. The limitation
to simplified operational sequences would be explicitly documented as a
constraint rather than a failure.
Reachability analysis specifically can exploit time-scale separation inherent in
reactor dynamics. Fast thermal transients can be treated quasi-steady relative
to slower nuclear kinetics, which enables decomposition into smaller subsystems.
Temperature dynamics operate on time scales of seconds to minutes, while neutron
kinetics respond in milliseconds to seconds for prompt effects and hours for
xenon poisoning. These distinct time scales permit separate analysis with
conservative coupling assumptions between subsystems, dramatically reducing the
dimensionality of reachability computations.
Mitigation strategies exist even before contingency plans become necessary.
Access to the University of Pittsburgh Center for Research Computing provides
high-performance computing resources if single-workstation computation proves
insufficient. Parallel synthesis algorithms and distributed reachability
analysis can leverage these resources to extend computational feasibility.
Compositional verification approaches using assume-guarantee reasoning can
decompose monolithic verification problems into tractable subproblems, each of
which can be solved independently before composition.
\subsection{Discrete-Continuous Interface Formalization}
The second critical assumption concerns the mapping between boolean guard
conditions in temporal logic and continuous state boundaries required for mode
transitions. This interface represents the fundamental challenge of hybrid
systems: relating discrete switching logic to continuous dynamics. Temporal
logic operates on boolean predicates, while continuous control requires
reasoning about differential equations and reachable sets. Guard conditions that
require complex nonlinear predicates may resist boolean abstraction, making
synthesis intractable. Continuous safety regions that cannot be expressed as
conjunctions of verifiable constraints would similarly create insurmountable
verification challenges. The risk extends beyond static interface definition to
dynamic behavior across transitions: barrier certificates may fail to exist for
proposed transitions, or continuous modes may be unable to guarantee convergence
to discrete transition boundaries.
Early indicators of interface formalization problems would appear during both
synthesis and verification phases. Guard conditions requiring complex nonlinear
predicates that resist boolean abstraction would suggest fundamental misalignment
between discrete specifications and continuous realities. Continuous safety
regions that cannot be expressed as conjunctions of half-spaces or polynomial
inequalities would indicate that the interface between discrete guards and
continuous invariants is too complex. Failure to construct barrier certificates
proving safety across mode transitions would reveal that the continuous dynamics
cannot be formally related to discrete switching logic. Reachability analysis
showing that continuous modes cannot reach intended transition boundaries from
all possible initial conditions would demonstrate that the synthesized discrete
controller is incompatible with achievable continuous behavior.
The primary contingency for interface complexity is to restrict continuous modes
to operate within polytopic invariants. Polytopes are state regions defined as
intersections of linear half-spaces, which map directly to boolean predicates
through linear inequality checks. This restriction ensures tractable synthesis
while maintaining theoretical rigor, though at the cost of limiting
expressiveness compared to arbitrary nonlinear regions. The discrete-continuous
interface remains well-defined and verifiable with polytopic restrictions,
providing a clear fallback position that preserves the core methodology.
Conservative over-approximations offer an alternative approach: a nonlinear safe
region can be inner-approximated by a polytope, sacrificing operational
flexibility to maintain formal guarantees. The three-mode classification already
structures the problem to minimize complex transitions, with critical safety
properties concentrated in expulsory modes that can receive additional design
attention.
Mitigation strategies focus on designing continuous controllers with discrete
transitions as primary objectives from the outset. Rather than designing
continuous control laws independently and verifying transitions post-hoc, the
approach uses transition requirements as design constraints. Control barrier
functions provide a systematic method to synthesize controllers that guarantee
forward invariance of safe sets and convergence to transition boundaries. This
design-for-verification approach reduces the likelihood that interface
complexity becomes insurmountable. Focusing verification effort on expulsory
modes---where safety is most critical---allows more complex analysis to be
applied selectively rather than uniformly across all modes, concentrating
computational resources where they matter most for safety assurance.
\subsection{Procedure Formalization Completeness}
The third assumption is that existing SmAHTR startup procedures contain
sufficient detail and clarity for translation into temporal logic specifications.
Nuclear operating procedures, while extensively detailed, were written for human
operators who bring contextual understanding and adaptive reasoning to their
interpretation. Procedures may contain implicit knowledge, ambiguous directives,
or references to operator judgment that resist formalization in current
specification languages. Underspecified timing constraints, ambiguous condition
definitions, or gaps in operational coverage would cause synthesis to fail or
produce incorrect automata. The risk is not merely that formalization is
difficult, but that current procedures fundamentally lack the precision required
for autonomous control, revealing a gap between human-oriented documentation and
machine-executable specifications.
Several indicators would reveal formalization completeness problems early in the
project. FRET realizability checks failing due to underspecified behaviors or
conflicting requirements would indicate that procedures do not form a complete
specification. Multiple valid interpretations of procedural steps with no clear
resolution would demonstrate that procedure language is insufficiently precise
for automated synthesis. Procedures referencing ``operator judgment,'' ``as
appropriate,'' or similar discretionary language for critical decisions would
explicitly identify points where human reasoning cannot be directly formalized.
Domain experts unable to provide crisp answers to specification questions about
edge cases would suggest that the procedures themselves do not fully define
system behavior, relying instead on operator training and experience to fill
gaps.
The contingency plan treats inadequate specification as itself a research
contribution rather than a project failure. Documenting specific ambiguities
encountered would create a taxonomy of formalization barriers: timing
underspecification, missing preconditions, discretionary actions, and undefined
failure modes. Each category would be analyzed to understand why current
procedure-writing practices produce these gaps and what specification languages
would need to address them. Proposed extensions to FRETish or similar
specification languages would demonstrate how to bridge the gap between current
procedures and the precision needed for autonomous control. The research output
would shift from ``here is a complete autonomous controller'' to ``here is what
formal autonomous control requires that current procedures do not provide, and
here are language extensions to bridge that gap.'' This contribution remains
valuable to both the nuclear industry and formal methods community, establishing
clear requirements for next-generation procedure development and autonomous
control specification languages.
Early-stage procedure analysis with domain experts provides the primary
mitigation strategy. Collaboration through the University of Pittsburgh Cyber
Energy Center enables identification and resolution of ambiguities before
synthesis attempts, rather than discovering them during failed synthesis runs.
Iterative refinement with reactor operators and control engineers can clarify
procedural intent before formalization begins, reducing the risk of discovering
insurmountable specification gaps late in the project. Comparison with
procedures from multiple reactor designs---pressurized water reactors, boiling
water reactors, and advanced designs---may reveal common patterns and standard
ambiguities amenable to systematic resolution. This cross-design analysis would
strengthen the generalizability of any proposed specification language
extensions, ensuring they address industry-wide practices rather than
SmAHTR-specific quirks.
\subsection{Hardware-in-the-Loop Integration Complexity}
The fourth assumption is that the ARCADE interface can provide stable real-time
communication between Simulink simulation and Ovation control hardware at
control rates required for reactor dynamics. Hardware-in-the-loop testing
introduces timing constraints, communication latency, and platform compatibility
challenges that are absent in pure simulation. Control rates for reactor systems
typically range from 10-100 Hz for continuous control to millisecond response
times for protection system actions. Control loop jitter, communication
dropouts, or computational limitations in the Ovation PLC could prevent
successful HIL validation even if the synthesized controller is theoretically
correct. Real-time operating system constraints, network latency, and hardware
execution speed may prove incompatible with verified timing assumptions embedded
in the controller design.
Early indicators would identify hardware integration problems before they derail
the entire validation effort. Communication dropouts or buffer overruns between ARCADE
and Ovation would indicate that the interface cannot maintain stable real-time
data exchange. The Ovation PLC proving unable to execute the synthesized
automaton at required speed would reveal fundamental computational limitations
of the target hardware platform. Timing analysis showing that hardware cannot
meet real-time deadlines assumed during verification would demonstrate
incompatibility between formal guarantees and physical implementation
constraints.
The contingency plan is to demonstrate the controller in software-in-the-loop
configuration with detailed timing analysis showing industrial hardware
feasibility. Software-in-the-loop testing executes the complete verified
controller in a real-time software environment that emulates hardware timing
constraints without requiring physical hardware. Combined with worst-case
execution time analysis of the synthesized automaton and continuous control
algorithms, software-in-the-loop validation can provide strong evidence of
implementability even without physical hardware demonstration. This approach
maintains TRL 4 rather than TRL 5, but still validates
the synthesis methodology and establishes a clear pathway to hardware
deployment. The research contribution remains intact: demonstrating that formal
hybrid control synthesis produces implementable controllers, with remaining
barriers clearly identified as hardware integration challenges rather than
fundamental methodological limitations.
Mitigation strategies leverage existing infrastructure and adopt early testing
practices. ARCADE has been successfully used for reactor simulation HIL testing
at the University of Pittsburgh, establishing feasibility in principle and
providing institutional knowledge about common integration challenges. Conducting
early integration testing during the synthesis phase, rather than deferring HIL
attempts until late in the project, identifies timing constraints and
communication requirements that can inform controller design. Early testing
ensures that synthesized controllers are compatible with hardware limitations
from the outset, rather than discovering incompatibilities after synthesis is
complete. The Ovation platform supports multiple implementation approaches
including function blocks, structured text, and ladder logic, which provides
flexibility in how synthesized automata are realized and may enable workarounds
if one implementation approach proves problematic.

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% PROJECT SUMMARY % PROJECT SUMMARY
\section*{Project Summary} \section*{Project Summary}