% GOAL PARAGRAPH This research develops autonomous control systems with mathematical guarantees of safe and correct behavior. % INTRODUCTORY PARAGRAPH Hook Human operators control today's nuclear reactors through extensive training. They follow detailed written procedures and switch between control objectives based on plant conditions. % Gap Small modular reactors face a fundamental economic challenge: their per-megawatt staffing costs significantly exceed those of conventional plants. This threatens their economic viability. Autonomous control systems could manage complex operational sequences without constant supervision—but only with assurance equal to or exceeding that of human-operated systems. % APPROACH PARAGRAPH Solution This research produces hybrid control systems correct by construction. It combines formal methods from computer science with control theory. % Rationale Human operators already work this way: discrete logic switches between continuous control modes. Formal methods alone fail—they generate provably correct switching logic but cannot handle continuous dynamics governing transitions. Control theory alone also fails—it verifies continuous behavior but cannot prove discrete switching correctness. End-to-end correctness requires both approaches working together. % Hypothesis and Technical Approach Three stages bridge this gap. First, NASA's Formal Requirements Elicitation Tool (FRET) translates written operating procedures into temporal logic specifications. It structures requirements by scope, condition, component, timing, and response. Realizability checking then exposes conflicts and ambiguities before implementation begins. Second, reactive synthesis generates deterministic automata provably correct by construction. Third, reachability analysis verifies that continuous controllers satisfy the requirements each discrete mode imposes. Standard control theory techniques design these continuous controllers. Control objectives classify continuous modes into three types. Transitory modes drive the plant between conditions. Stabilizing modes maintain operation within regions. Expulsory modes ensure safety under failures. Barrier certificates and assume-guarantee contracts prove safe mode transitions. This enables local verification without global trajectory analysis. An Emerson Ovation control system will demonstrate the methodology. % Pay-off This approach manages complex nuclear power operations autonomously while maintaining safety guarantees. It directly addresses the economic constraints threatening small modular reactor viability. % OUTCOMES PARAGRAPHS This research, if successful, produces three concrete outcomes: \begin{enumerate} % OUTCOME 1 Title \item \textit{Synthesize written procedures into verified control logic.} % Strategy A methodology converts written operating procedures into formal specifications. Reactive synthesis tools then generate discrete control logic from these specifications. % Outcome Control engineers generate mode-switching controllers directly from regulatory procedures. Minimal formal methods expertise required. This reduces barriers to high-assurance control systems. % OUTCOME 2 Title \item \textit{Verify continuous control behavior across mode transitions.} % Strategy Reachability analysis verifies that continuous control modes satisfy discrete transition requirements. % 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 \textit{Demonstrate autonomous reactor startup control with safety guarantees.} % Strategy This methodology demonstrates on a small modular reactor simulation using industry-standard control hardware. % Outcome Control engineers implement high-assurance autonomous controls on industrial platforms they already use, enabling autonomy without retraining costs or new equipment development. \end{enumerate}