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The numerical simulation of many-particle systems (e.g. in molecular dynamics) often involves constraints of various forms.
The optimization involves constraints written as LMI's, including those normally associated to MPC problems, such as input and output limits.
The efficacy of the proposed state estimation algorithms using a particle filter is illustrated via a successful implementation on a simulated gas-phase reactor, involving constraints on estimated state variables and another example problem, which involves constraints on the process noise (Rao et al. [10]).
Naturally, this involves constraints of auditory information processing, which may be a particular challenge when reflecting responses that involve complex descriptions of social behaviors and personality characteristics.
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Such features involve constraints, thereby leading to variable transformation efficiency (Phillips et al. 2000).
Items of equipment involve constraints on capacity, in particular gates, barriers and fare desks.
Involving constraints of outer approximation to Coop-NLS improves the performance of this non-linear estimator.
We introduce the Lagrange multipliers for the most involving constraints, which are the coupling constraints of the SRPC problem (15).
However, a rearrangement task is a very complicated process involving constraints related to transportation order and scarcity of spatial resources.
Moreover the relevant equations typically involve constraints so that we are also in the situation of Remark 1.3.
PotentInl aparticulars of the results to the biomechanics of soft tissues are indicated.
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