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By means of simulation studies with the software VibTrain, soft soil resonance behaviour may be characterized using a few key parameters originating from track stiffness measurements, such as the minimum phase delay and corresponding frequency of the receptance transfer function.
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A new method of controlling nonlinear processes with a non-minimum-phase delay-free part is presented.
We consider the problem designing bilateral control system with time-delay as that designing control system for the minimum phase time-delay system.
Proposed structure can represent all of controllers for the unstable minimum phase systems with time delay.
The purpose of the present paper is to give a new control structure of the modified Smith predictor control system for unstable minimum phase systems with time delay.
Extensive simulation results reveal that the proposed SMC design methodology is applicable and promising for the robust control of non-linear, uncertain, non-minimum phase, time-delay chemical processes.
The folding analysis indicates that the time variation of the Be-7 concentration is similar to that of the ground-based neutron counting rate, and the phase delay for the minimum portion of Be-7 concentration was roughly 8 days to the maximum sunspot number.
A novel scheme of neural network model reference adaptive control is proposed for arbitrary complex nonlinear discrete-time systems, i.e., non-minimum phase system, time-delay system and minimum phase system.
Another significance of our result is to enable the class of systems stablizable by adaptive backstepping controllers to cross the boundary of minimum phase systems, since systems with input time delay belong to non-minimum phase systems.
To avoid the aliasing effects of higher frequency signals and reduce the phase delay of conventional filters, a multi-rate minimum-phase low-pass digital filter is also integrated into the controller.
Numerical experiments show that our design method can produce a filter with smaller group delay than that obtained by the existing convex optimization method used in conjunction with a minimum phase spectral factorization method under the same design criteria.
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