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\section{Goals and Outcomes}
% GOAL PARAGRAPH
The goal of this research is to develop a methodology for creating autonomous
hybrid control systems with mathematical guarantees of safe and correct
behavior.
% INTRODUCTORY PARAGRAPH Hook
Nuclear power plants require the highest levels of control system reliability,
where failures can result in significant economic losses, service interruptions,
or radiological release.
% Known information
Currently, nuclear plant operations rely on extensively trained human operators
who follow detailed written procedures and strict regulatory requirements to
manage reactor control. These operators make critical decisions about when to
switch between different control modes based on their interpretation of plant
conditions and procedural guidance.
% Gap
This reliance on human operators prevents autonomous control and creates a
fundamental economic barrier for next-generation reactor designs. Small modular
reactors face per-megawatt staffing costs far exceeding those of conventional
plants, threatening their economic viability.
% Critical Need
What is needed is a method to create autonomous control systems that safely
manage complex operational sequences with the same assurance as human-operated
systems, but without constant human supervision.
% APPROACH PARAGRAPH Solution
To address this need, we will combine formal methods with control theory to
build hybrid control systems that are correct by construction.
% Rationale
Hybrid systems use discrete logic to switch between continuous control modes,
mirroring how operators change control strategies. Existing formal methods can
generate provably correct switching logic from written requirements, but they
cannot handle the continuous dynamics that occur during transitions between
modes. Meanwhile, traditional control theory can verify continuous behavior but
lacks tools for proving correctness of discrete switching decisions.
% Hypothesis
By synthesizing discrete mode transitions directly from written operating
procedures and verifying continuous behavior between transitions, we can create
hybrid control systems with end-to-end correctness guarantees. If existing
procedures can be formalized into logical specifications and continuous dynamics
verified against transition requirements, then autonomous controllers can be
built that are provably free from design defects.
% Pay-off
This approach will enable autonomous control in nuclear power plants while
maintaining the high safety standards required by the industry. The University
of Pittsburgh Cyber Energy Center's partnership with Emerson provides access to
industry-standard control hardware, ensuring that developed solutions align with
practical implementation requirements from the outset.
% OUTCOMES PARAGRAPHS
If this research is successful, we will be able to do the following:
\begin{enumerate}
% OUTCOME 1 Title
\item \textbf{Translate written procedures into verified control logic.}
% Strategy
We will develop a methodology for converting existing written operating
procedures into formal specifications that can be automatically synthesized
into discrete control logic. This process will use structured intermediate
representations to bridge natural language procedures and mathematical
logic.
% Outcome
Control system engineers will generate verified mode-switching controllers
directly from regulatory procedures, lowering the barrier to high-assurance
control systems.
% OUTCOME 2 Title
\item \textbf{Verify continuous control behavior across mode transitions.}
% Strategy
We will establish methods for analyzing continuous control modes to ensure
they satisfy discrete transition requirements. Using classical control
theory for linear systems and reachability analysis for nonlinear
dynamics, we will verify that each continuous mode safely reaches its
intended transitions.
% Outcome
Engineers will design continuous controllers using standard practices
while iterating to ensure broader system correctness, proving that mode
transitions occur safely and at the correct times.
% OUTCOME 3 Title
\item \textbf{Demonstrate autonomous reactor startup control with safety
guarantees.}
% Strategy
We will apply this methodology to develop an autonomous controller for
nuclear reactor startup procedures, implementing it on a small modular
reactor simulation using industry-standard control hardware. This
demonstration will prove correctness across multiple coordinated control
modes from cold shutdown through criticality to power
operation.
% Outcome
We will demonstrate that autonomous hybrid control can be realized in the
nuclear industry with current equipment, establishing a path toward
reduced operator staffing while maintaining safety.
\end{enumerate}
% IMPACT PARAGRAPH Innovation
The innovation in this work is unifying discrete synthesis with continuous
verification to enable end-to-end correctness guarantees for hybrid systems.
% Outcome Impact
If successful, control engineers will create autonomous controllers from
existing procedures with mathematical proof of correct behavior. High-assurance
autonomous control will become practical for safety-critical applications.
% Impact/Pay-off
This research will provide the tools to achieve that autonomy while maintaining
the exceptional safety record the nuclear industry requires.