Neha Patil (Editor)

Weighting pattern

Updated on
Edit
Like
Comment
Share on FacebookTweet on TwitterShare on LinkedInShare on Reddit

A weighting pattern for a linear dynamical system describes the relationship between an input u and output y . Given the time-variant system described by

x ˙ ( t ) = A ( t ) x ( t ) + B ( t ) u ( t ) y ( t ) = C ( t ) x ( t ) ,

then the output can be written as

y ( t ) = y ( t 0 ) + t 0 t T ( t , σ ) u ( σ ) d σ ,

where T ( , ) is the weighting pattern for the system. For such a system, the weighting pattern is T ( t , σ ) = C ( t ) ϕ ( t , σ ) B ( σ ) such that ϕ is the state transition matrix.

The weighting pattern will determine a system, but if there exists a realization for this weighting pattern then there exist many that do so.

Linear time invariant system

In a LTI system then the weighting pattern is:

Continuous
T ( t , σ ) = C e A ( t σ ) B

where e A ( t σ ) is the matrix exponential.

Discrete
T ( k , l ) = C A k l 1 B .

References

Weighting pattern Wikipedia


Similar Topics