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An observer based output feedback control scheme is proposed using the dynamic gain control design approach.
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The model system is analyzed using the dynamic logarithmic gains in parallel with simulations of the time-transient behavior of metabolite concentrations and metabolic fluxes.
Although, the pinned-Level, minLevel, and SafeRange can be used to address the dynamic gain issue, they cannot prevent the situation that: L will always be degraded while H will always be upgraded.
A state feedback controller is designed using a dynamic gain parameter which is shown to converge to the neighborhood of the optimal LQR gain.
In this paper, we propose a new state feedback controller using dynamic gain for input-delayed systems with high-order nonlinearity terms in both feedforward and non-feedforward forms.
Second, robustness to dynamic uncertainties is tackled using the small-gain theory.
Similar to [34, 35], we use the per-pixel gain of the analog signal, pixel measurements, to increase the dynamic range in the captured image.
The laser power and detector gain were adjusted for each sample to obtain as good signal to noise ratios as possible and to use the entire dynamic range of the detector.
Using the notion of a generalised dynamic relative gain in decentralised control systems, a method is then proposed to determine the best pairing of inputs and outputs for the design of MIMO systems.
Using the proposed sliding surface, faster dynamic response and less overshoot of the tracking behaviors are achieved with the magnitude of the discontinuous control gain unchanged.
Next, in order to achieve a stable drive of the active vibration isolation system, a method of using a low gain dynamic compensator is offered.
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