The monitoring process involves the observation of a system (engine, structure, infrastructure, etc.) over time using periodically sampled response measurements from an array of sensors (temperature, strain, etc.), the extraction of critical features from these measurements, and the statistical analysis of these features to determine the current state of system health. One of our technology areas is to develop prognostics and health monitoring systems based on the needs of our customers using a variety of sensor types. The application areas are aerospace systems, propulsion systems, infrastructures, and transportation systems. 

 There are numerous industrial and military application areas in which models and simulations do not yet exist and theoretical automatic control methods are not yet sufficiently advanced to design an automatic control system. In solving challenging engineering problems, there is a need to understand and determine the dynamic response of a physical system consisting of several components. These efforts involve modeling, analysis, simulation, and control of physical systems. Control of dynamical systems involves the analysis, design, and development of feedback loops for physical engineering systems that are often composed of interacting mechanical, electrical, and fluid subsystem components. Building a prototype system and conducting experimental tests for complicated dynamical systems are either too expensive or infeasible for a preliminary design. Therefore, mathematical modeling and simulation of engineering systems facilitate and improve the design process considerably. We use analytical calculations and numerical simulation tools to determine the system response in order to assess its performance, optimize the system, and develop control systems. Our applications areas are including but not limited to aerospace systems, propulsion systems, hypersonics. 

 At ControlX, our autonomy solutions redefine what aerospace systems can achieve—enabling flight platforms to perceive, decide, and act with minimal human oversight. From distributed sensor fusion to real-time decision-making algorithms, we engineer autonomy that handles complexity: collision avoidance, adaptive mission planning, and dynamic reconfiguration in the face of changing environment or system health. Whether navigating uncharted airspace, responding to disturbances, or coordinating in swarm formations, our autonomy stack ensures reliability, robustness, and safety. By integrating rigorous verification, fail-safe control, and hierarchical architectures, we deliver aerospace autonomy that inspires confidence—freeing operators from micromanagement so they can focus on mission goals, not micromanaging every flight operation. 

  At ControlX, our robotics solutions are engineered to make complex aerospace operations safer, more efficient, and highly reliable. We design intelligent systems that perceive their environment, adapt to uncertainty, and execute tasks with precision in demanding conditions. From satellite servicing and aircraft maintenance to multi-robot collaboration, our technologies emphasize resilience, adaptability, and seamless human-robot integration. By leveraging advanced control, autonomy, and modular design, we deliver robotic platforms that expand mission capabilities and unlock new possibilities for aerospace and defense. Our work includes robotic manipulators for orbital servicing, autonomous systems for depot maintenance, and swarm robotics that enable heterogeneous fleets—rovers, flyers, and manipulators—to share sensing, planning, and execution in GPS-denied environments. Whether assembling infrastructure in space or performing inspection and refueling tasks, our robotics deliver the reliability and performance needed to turn the most challenging aerospace missions into achievable operations.