% GOAL PARAGRAPH This research develops a methodology for creating autonomous control systems with mathematical guarantees of safe and correct behavior. % INTRODUCTORY PARAGRAPH Hook Extensively trained operators manage nuclear reactor control by following detailed written procedures. When operators switch between control objectives, plant conditions guide their decisions. % Gap Small modular reactors face a fundamental economic challenge: per-megawatt staffing costs significantly exceed those of conventional plants. This economic constraint threatens their viability. Autonomous control systems must therefore manage complex operational sequences safely—without constant supervision—while providing assurance equal to or exceeding that of human-operated systems. % APPROACH PARAGRAPH Solution We combine formal methods from computer science with control theory to build hybrid control systems 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 but cannot handle continuous dynamics during transitions. Control theory verifies continuous behavior but cannot prove discrete switching correctness. % Hypothesis and Technical Approach Our three-stage methodology bridges this gap. First, we translate written operating procedures into temporal logic specifications using NASA's Formal Requirements Elicitation Tool (FRET). FRET structures requirements into scope, condition, component, timing, and response elements. Realizability checking identifies conflicts and ambiguities before implementation. Second, reactive synthesis generates deterministic automata provably correct by construction. Third, we design continuous controllers for each discrete mode using standard control theory and verify them using reachability analysis. Continuous modes are classified by their transition objectives. Assume-guarantee contracts and barrier certificates prove mode transitions occur safely. This approach enables local verification of continuous modes without requiring global trajectory analysis across the entire hybrid system. An Emerson Ovation control system demonstrates this methodology. % Pay-off Autonomous control can therefore manage complex nuclear power operations while maintaining safety guarantees, directly addressing the economic constraints threatening small modular reactor viability. % OUTCOMES PARAGRAPHS If this research is successful, we will be able to do the following: \begin{enumerate} % OUTCOME 1 Title \item \textit{Synthesize written procedures into verified control logic.} % Strategy We will develop a methodology for converting written operating procedures into formal specifications. Reactive synthesis tools generate discrete control logic from these specifications. % Outcome Control engineers generate mode-switching controllers from regulatory procedures with minimal formal methods expertise, reducing 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 provably occur safely and at the correct times. % OUTCOME 3 Title \item \textit{Demonstrate autonomous reactor startup control with safety guarantees.} % Strategy A small modular reactor simulation using industry-standard control hardware implements this methodology. % 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}