The error estimation is extended to velocity, internal (strain) energy and kinetic energy for engineering applications.
The aim is to design a mixed filter, which ensures that the filtering error system is extended stochastically dissipative.
As a result, a new delay-dependent criterion is derived under which the estimated error system is extended dissipative.
Hence, the proposed error estimator is extended by accounting for a random field model to describe the material properties.
For this purpose, previous work on memory-less stochastic dual-weighted error estimation is extended by incorporating memory effects.
As a result, a novel delay-dependent extended dissipativity state estimation condition is exploited based on the estimated error system is extended dissipative.
The aim of this paper is to present a Markov switching estimator design method, which ensures that the resulting error system is extended stochastically dissipative.
A mode-dependent state estimator is designed in this paper, which ensures that the estimation error system is extended stochastically dissipative.
By using a parameter-dependent Lyapunov function and a novel extended dissipation inequality, a criterion is proposed to guarantee that the synchronization error system is extended (X,Y,Z -dissipative for all admissible uncertainties and actuator failures.
In this paper, a modified QRA methodology proposed recently, with the integration of sampling algorithms, surrogate models and error measures, is extended to a higher dimensional hydrocarbon pool fire problem.
