论文信息 - H∞ output-feedback control design for combustion systems using optical instrumentation - 字舞流文

H∞ output-feedback control design for combustion systems using optical instrumentation

Ricardo C. L. F. Oliveira | Jonathan M. Palma | Cecília F. Morais | Hugo O. Garces | Alejandro J. Rojas | J. M. Palma | R. C. Oliveira | A. Rojas | C. F. Morais | H. Garcés

[1] H. Akaike. A new look at the statistical model identification , 1974 .

[2] Y. Deguchi,et al. Development of fuel composition measurement technology using laser diagnostics , 2016 .

[3] C. Carter,et al. A simplified approach to simultaneous multi-scalar imaging in turbulent flames , 2018 .

[4] Hugo O. Garces,et al. Radiation measurement based on spectral emissions in industrial flames , 2016 .

[5] Goele Pipeleers,et al. Sufficient LMI conditions for reduced-order multi-objective H2/H∞ control of LTI systems , 2015, Eur. J. Control.

[6] Luis E. Arias,et al. Combustion Diagnostics by Calibrated Radiation Sensing and Spectral Estimation , 2017, IEEE Sensors Journal.

[7] Daniel Sbarbaro,et al. On the spectral bands measurements for combustion monitoring , 2011 .

[8] Waldemar Wójcik,et al. Advanced diagnostics of industrial pulverized coal burner using optical methods and artificial intelligence , 2012 .

[9] Jos F. Sturm,et al. A Matlab toolbox for optimization over symmetric cones , 1999 .

[10] R. Pearson. Selecting nonlinear model structures for computer control , 2003 .

[11] P. Gahinet,et al. A linear matrix inequality approach to H∞ control , 1994 .

[12] Huaichun Zhou,et al. Optimization of combustion based on introducing radiant energy signal in pulverized coal-fired boiler , 2010 .

[13] Javier Ballester,et al. Diagnostic techniques for the monitoring and control of practical flames , 2010 .