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Reviews time-varying systems, first and second moment representations of stochastic processes, and state-space models.
Various theoretical studies have modelled stochastic time-varying systems for both fatigue and ultimate limit states.
This paper is concerned with the identification of linear time-varying systems.
Of particular interest is the application of the methodology to time-varying systems.
Foreseen application areas include (economic) NMPC for fast-changing control tasks and fast time-varying systems.
Especially, it is difficult to tune these parameters for time-varying systems.
We dispense with these two assumptions which often are unrealistic in time-varying systems.
The control approach is based on analysis tools for cascaded time-varying systems.
Results for experiments on benchmark and real-world time-varying systems support the proposed techniques.
Key Words persistency of excitation, observers, time-varying systems, output feedback control.
A version of Matrosov's theorem for parameterized discrete-time time-varying systems is presented.
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