Thesis/1-goals-and-outcomes/v1.tex

\section{Goals and Outcomes}

% GOAL PARAGRAPH
This research develops 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.
Control system failures risk significant economic losses, service interruptions,
or radiological release.
% Known information
Nuclear plant operations rely on extensively trained human operators
who follow detailed written procedures and strict regulatory requirements to
manage reactor control. Plant conditions and procedural guidance inform their decisions when they switch between different control modes.
% Gap
This reliance on human operators prevents autonomous control and
creates a fundamental economic challenge for next-generation reactor designs.
Small modular reactors face per-megawatt staffing costs that far
exceed those of conventional plants, threatening their economic viability.
The nuclear industry needs autonomous control systems that manage complex
operational sequences safely without constant human supervision while providing
assurance equal to or exceeding human-operated systems.

% APPROACH PARAGRAPH Solution
We combine formal methods with control theory to build hybrid control
systems that are correct by construction.
% Rationale
Hybrid systems mirror how operators work: discrete
logic switches between continuous control modes. Existing formal methods
generate provably correct switching logic from written requirements but cannot handle continuous dynamics during transitions between modes.
Control theory verifies continuous behavior but cannot prove the correctness of discrete switching decisions. This gap prevents end-to-end correctness guarantees.
% Hypothesis
Our approach closes this gap by synthesizing discrete mode transitions directly
from written operating procedures and verifying continuous behavior between
transitions. We formalize existing procedures into logical
specifications and verify continuous dynamics against transition requirements. This approach produces autonomous controllers that are provably free from design
defects. We conduct this work within the University of Pittsburgh Cyber Energy Center,
which provides access to industry collaboration and Emerson control hardware. Solutions developed here align with practical implementation
requirements.

% 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 develop a methodology for converting existing written operating
    procedures into formal specifications that can be automatically synthesized
    into discrete control logic. This process uses structured intermediate
    representations to bridge natural language procedures and mathematical
    logic.
    % Outcome
    Control system engineers generate verified mode-switching controllers
    directly from regulatory procedures without formal methods expertise,
    lowering the barrier to high-assurance control systems.

    % OUTCOME 2 Title
  \item \textbf{Verify continuous control behavior across mode transitions.}
    % Strategy
    We establish methods for analyzing continuous control modes to verify
    they satisfy discrete transition requirements. Classical control theory for
    linear systems and reachability analysis for nonlinear dynamics verify
    that each continuous mode reaches its intended transitions safely.
    % Outcome
    Engineers design continuous controllers using standard practices while
    maintaining formal correctness guarantees. Mode transitions occur safely and at the correct times, provably.

    % OUTCOME 3  Title
  \item \textbf{Demonstrate autonomous reactor startup control with safety
    guarantees.}
    % Strategy
    We 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 proves correctness across multiple coordinated control
    modes from cold shutdown through criticality to power operation.
    % Outcome
    We 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
These three outcomes—procedure translation, continuous verification, and hardware demonstration—establish a complete methodology from regulatory documents to deployed systems.

\textbf{What is new:} We unify discrete synthesis with continuous verification to enable end-to-end correctness guarantees for hybrid systems.
Formal methods verify discrete logic. Control theory verifies
continuous dynamics. No existing methodology bridges both with compositional
guarantees. This work establishes that bridge by treating discrete specifications
as contracts that continuous controllers must satisfy, enabling independent
verification of each layer while guaranteeing correct composition.

% Outcome Impact
If successful, control engineers create autonomous controllers from
existing procedures with mathematical proofs of correct behavior. High-assurance
autonomous control becomes practical for safety-critical applications.
% Impact/Pay-off
This capability is essential for the economic viability of next-generation
nuclear power. Small modular reactors offer a promising solution to growing
energy demands, but their success depends on reducing per-megawatt operating
costs through increased autonomy. This research provides the tools to
achieve that autonomy while maintaining the exceptional safety record the
nuclear industry requires.

The following sections systematically answer the Heilmeier Catechism questions that define this research: Section 2 examines the state of the art, establishing what has been done and what remains impossible with current approaches. Section 3 presents our hybrid control synthesis methodology, demonstrating what is new and why it will succeed where prior work has not. Section 4 defines how we measure success through Technology Readiness Level advancement from analytical concepts to hardware demonstration. Section 5 identifies risks that could prevent success and establishes contingencies. Section 6 addresses who cares and why now, examining the economic imperative driving autonomous nuclear control and the broader impact on safety-critical systems. Section 8 provides the research schedule and deliverables, answering how long this work will take.