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The proposed functional observer can estimate the system state and unknown input simultaneously.
The time-delays are assumed to be time-varying continuously differentiable functions, which appear in the state and control input simultaneously.
To estimate the ammonia coverage ratio and input simultaneously for the nonlinear SCR system, the high-gain observer method is adopted in this paper.
Secondly, to improve the efficiency of sampling which aims at calculating the unconditional failure probability and estimating the failure-conditional PDF of every model input simultaneously, subset simulation method is extended to achieve these two aims.
This article studies iterative learning control (ILC) where multiple heterogeneous linear subsystems (with potentially different individual dynamics) update their input simultaneously based on the error in a collaboratively controlled desired output.
In this work, we aim to design an observer which can estimate the state and the input simultaneously for a ground vehicle diesel engine selective catalytic reduction (SCR) system.
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This requires an MCU with an A/D converter that could listen to three inputs simultaneously.
We also conclude that it is always better to excite all inputs simultaneously.
The GSA varied all inputs simultaneously across the entire problem domain while the LSA varied each input independently in turn.
Then, we design a H∞ reduced-order observer to estimate both state variables and unknown inputs simultaneously.
A specific method is sequential bifurcation (SB), which is a sequential method that changes groups of inputs simultaneously.
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