The underlying philosophy and motivation of the optimal projection/maximum entropy (OP/ME) stochastic modeling and reduced control design methodology for high order systems with parameter uncertainties are discussed. The OP/ME design equations for reduced-order dynamic compensation including the effect of parameter uncertainties are reviewed. The application of the methodology to several Large Space Structures (LSS) problems of representative complexity is illustrated.
Maximum Entropy/Optimal Projection (MEOP) Control Design Synthesis: Optimal Quantification of the Major Design Tradeoffs
1987
38 pages
Report
No indication
English
Unmanned Spacecraft , Manned Spacecraft , Control Systems & Control Theory , Control systems design , Large space structures , Maximum entropy method , Dynamic structural analysis , Mathematical models , Equations of state , Linear quadratic gaussian control , Parameter identification , Robustness (Mathematics) , Stochastic processes