Reliable control of high-temperature fuel cell systems using interval-based sliding mode techniques

[1]  Andreas Griewank,et al.  Evaluating derivatives - principles and techniques of algorithmic differentiation, Second Edition , 2000, Frontiers in applied mathematics.

[2]  Andreas Rauh,et al.  Experimental validation of a sensitivity-based observer for solid oxide fuel cell systems , 2013, 2013 18th International Conference on Methods & Models in Automation & Robotics (MMAR).

[3]  Andreas Rauh,et al.  Verified Stability Analysis for Interval-Based Sliding Mode and Predictive Control Procedures with Applications to High-Temperature Fuel Cell Systems , 2013, NOLCOS.

[4]  Andreas Rauh,et al.  Variable Structure Approaches for Temperature Control of Solid Oxide Fuel Cell Stacks , 2014 .

[5]  J. Garloff,et al.  Solving strict polynomial inequalities by Bernstein expansion , 1999 .

[6]  Andreas Rauh,et al.  Numerical Verification and Experimental Validation of Sliding Mode Control Design for Uncertain Thermal SOFC Models , 2013, Reliab. Comput..

[7]  Andreas Rauh,et al.  Experimental validation of interval-based sliding mode control for solid oxide fuel cell systems , 2013, 2013 European Control Conference (ECC).

[8]  A. Isidori.  Nonlinear Control Systems , 1985 .

[9]  Andreas Rauh,et al.  Interval Methods for Control-Oriented Modeling of the Thermal Behavior of High-Temperature Fuel Cell Stacks , 2012 .

[10]  Siegfried M. Rump,et al.  INTLAB - INTerval LABoratory , 1998, SCAN.

[11]  Anna G. Stefanopoulou,et al.  Control of Fuel Cell Power Systems: Principles, Modeling, Analysis and Feedback Design , 2004 .

[12]  Andreas Rauh,et al.  Robust Sliding Mode Techniques for Control and State Estimation of Dynamic Systems with Bounded and Stochastic Uncertainty , 2014 .

[13]  Andreas Rauh,et al.  Design and experimental validation of control strategies for commercial gas preheating systems , 2013, 2013 18th International Conference on Methods & Models in Automation & Robotics (MMAR).

[14]  Biao Huang,et al.  Dynamic Modelling and Predictive Control in Solid Oxide Fuel Cells: First Principle and Data-Based Approaches: Huang/Dynamic Modelling and Predictive Control in Solid Oxide Fuel Cells: First Principle and Data-Based Approaches , 2013 .

[15]  Luc Jaulin,et al.  Applied Interval Analysis , 2001, Springer London.

[16]  Biao Huang,et al.  Solid Oxide Fuel Cell: Perspective of Dynamic Modeling and Control , 2011 .

[17]  Andreas Rauh,et al.  Verification Techniques for Sensitivity Analysis and Design of Controllers for Nonlinear Dynamic Systems with Uncertainties , 2009, Int. J. Appl. Math. Comput. Sci..

[18]  Stefano Ubertini,et al.  Modeling Solid Oxide Fuel Cells: Methods, Procedures and Techniques , 2014 .