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This issue attracted a lot of attention since a single controller with acceptable performance may not exist for LPV systems with a large parameter variation region.
In this paper, a robust design approach is proposed to design a strongly nonlinear system to be robust against large parameter variation.
Nonetheless, how to realize an efficient recognition procedure for radar signals with large parameter variation range is still a challenging problem.
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Robust solutions are difficult to obtain when a system is strongly nonlinear or has large parameter variations.
They therefore cannot deal effectively with unmodeled dynamics and large parameter variations that can lead to scrap runs and machinery damage.
The large parameter variations in heavy-duty trucks make it very difficult to find appropriate settings for fixed structure speed controllers.
In this work, a novel design approach is proposed to ensure stability and robustness of a nonlinear system under large parameter variations.
The design and algorithmic challenges in the control of an evaporator include: unknown model parameters, large parameter variations, varying loads, and external discrete phenomena such as compressor switch on/off or abrupt change in compressor speed.
A nonlinear flight control approach named Sensor-Based Backstepping (SBB) is employed to design a highly robust controller for AHVs, and ensure that the controller does not suffer from large parameter variations and model uncertainties.
Moreover, we explored the impact of possibly large parameter variations on the robustness of the desired behavior.
The robust nature of biological systems can ensure that healthy individuals respond in a qualitatively similar fashion despite large parameter variations in the underlying components (Kitano 2004).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com