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velocity, and current density. Mathematically the model forms a system of differential-algebraic equations (DAEs), which is solved computationally. The model is designed with process-control applications in mind, although it can certainly be applied more widely. Although the physical model is computationally efficient, it is still too costly for incorporation directly into real-time process control. Therefore, system-identification techniques are used to develop reduced-order, locally linear models that can be incorporated directly into advanced control methodologies, such as model predictive control (MPC). The paper illustrates the physical model and the reduced-order linear state-space model with examples. Article Outline Nomenclature Introduction Model development Fuel flow, overall mass continuity Fuel flow, species continuity equations Fuel flow, thermal energy Anode bi-layer model MEA energy balance Cathode air conservation equations Electrochemistry Implementation Example model results Steady-state results Transient simulations Linear identification of the SOFC stack Subspace system identification Illustration of linear system identification Conclusion References Purchase$ 37.95Recent advances in nuclear powered electric propulsion for space exploration Original Purchase $ 37.95 937 Research Article Energy Conversion and Management, Volume 49, Issue 3, March 2008, Pages 412-435 R. Joseph Cassady, Robert H. Frisbee, James H. Gilland, Michael G. Houts, Michael R. LaPointe, Colleen M. Maresse-Reading, Steven R. Oleson, James E. Polk, Derrek Russell, Anita Sengupta Abstract | Figures/Tables | ReferencesAbstractNuclear Abstract | Figures/Tables | References Abstract Nuclear and radioisotope powered electric thrusters are being developed as primary in space propulsion systems for potential future robotic and piloted space missions. Possible applications for high-power nuclear electric propulsion include orbit raising and maneuvering of large space platforms, lunar