Title : 
Choice of coordinates and computational difficulty
         
        
            Author : 
Johnson, George W.
         
        
            Author_Institution : 
IBM Federal Systems Division, Burlington, MA, USA
         
        
        
        
        
            fDate : 
2/1/1974 12:00:00 AM
         
        
        
        
            Abstract : 
Computational difficulty can be significantly reduced when optimal control and estimation problems are formulated in well-chosen coordinate systems. It is shown that every LQG (linear-quadratic-Gaussian) problem can be formulated in coordinates such that principal parts of the solution are either well-posed or ill-posed for numerical solution.
         
        
            Keywords : 
Estimation; Optimal control; Computational modeling; Digital filters; Distortion measurement; Eigenvalues and eigenfunctions; Ellipsoids; Length measurement; Observability; Phased arrays; Radar tracking; Rotation measurement;
         
        
        
            Journal_Title : 
Automatic Control, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TAC.1974.1100471