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First, the robust H∞ filtering problem and generalized H2 filtering problem for the discrete time piecewise impulsive system are introduced.
In the fourth chapter we develop a more general approach to the state-space filtering problem.
In contrast to the previously obtained results, the paper reduces the original H∞ filtering problem to the corresponding optimal H2 filtering problem, using the technique proposed in [1].
The method shows good performance when applied on a benchmark 5-state filtering problem and on a larger 150-state filtering problem.
The original H∞ filtering problem for a linear stochastic system is reduced to the corresponding mean-square H2 filtering problem, using the technique proposed in Doyle (1989) [1].
We present a reformulation of stochastic global optimization as a filtering problem.
We give another application of flow decomposition in a nonlinear filtering problem.
This paper addresses an unknown input filtering problem where the existence condition is not satisfied.
The fault detection problem is converted into an exponential H∞ filtering problem.
This paper studies the distributed filtering problem for sensor networks with communication delays.
This paper deals with the L2−L∞ filtering problem for stochastic systems with time-varying delay.
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CEO of Professional Science Editing for Scientists @ prosciediting.com