Details:
Title  Solving the ARE Symbolically  Author(s)  Jan Eriksson, Krister Forsman  Text  K. Forsman and J. Eriksson, Solving the ARE Symbolically, Technical Report 19930308, Department Of Electrical Engineering, Linköping University, 1993.  Type  Technical Report, Misc  Abstract  Methods from computer algebra, mostly so called Grobner bases from
commutative algebra, are used to solve the algebraic Riccati equation (ARE) symbolically. The methods suggested allow us to track the influence of parameters in the system or penalty matrices on the solution. Some nontrivial aspects arise when addressing the problem from the point of view commutative algebra, for example the original equations are rational, not polynomial. We explain how this can be dealt with rather easily. Some methods for lowering the computational complexity are suggested and different methods are compared regarding efficiency.
Preprocessing of the equations before applying Grobner bases can make
computations more efficient. 
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 Language  English  Year  1993  Translation 
No  Refereed 
No 
