Title :
The partial model matching or partial disturbance rejection problem: geometric and structural solutions
Author :
Malabre, Michel ; Garcia, Juan Carlos Martinez
Author_Institution :
Lab. d´´Autom., CNRS, Nantes, France
fDate :
2/1/1995 12:00:00 AM
Abstract :
The partial model matching problem (or equivalently, the partial disturbance rejection problem) is revisited. It has been initially introduced in Emre and Silverman (1980) and amounts to matching the first k Markov parameters of the plant with those of the model. This obviously finds all its interest when no solution exists to the exact problem. The authors give both geometric and structural solutions to these problems. The geometric solution is in terms of the steps of the well known supremal output nulling controlled invariant subspace algorithm. The structural conditions amount to comparing some list of integers, namely some orders of zeros at infinity
Keywords :
Markov processes; geometry; linear systems; transfer function matrices; Markov parameters; geometric solutions; partial disturbance rejection problem; partial model matching; structural solutions; supremal output nulling controlled invariant subspace algorithm; Control systems; H infinity control; Instruction sets; Kernel; Mexico Council; Poles and zeros; Solid modeling; Space technology; State feedback; Vectors;
Journal_Title :
Automatic Control, IEEE Transactions on