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Detection with multiple distributions is considered. Rather than formulating the problem with multiple hypotheses, we formulate the problem in a binary hypothesis testing framework by a multiple model approach. Three classes of the Multi-Model Detection (MMD) problems are considered: simplex, compound, and mixture. Three concepts of optimality are given for these three problems, including Uniformly...
This paper presents a follow-up and improvement of our previous work on conflict detection and resolution (CDR) for unmanned aircraft “sense-and-avoid” (SA) applications. More specifically, we propose an extension of our previous model predictive control formulation and algorithm that takes into account costs incurred by possible deviation from the desired destination so that the optimized solution...
This paper addresses the air traffic control problem of conflict detection and resolution (CDR) under intent uncertainty, in a multiple model (MM) trajectory information processing framework. The conflict detection is based on a predicted probability of conflict. The problem of conflict resolution (CR) is formulated as one of a chance-constrained model predictive control, whereby the constraint is...
We consider the detection component of a conflict detection and resolution system for air traffic management. A conflict is an event of a close encounter between two aircraft in the near future. The collision alert system has to balance between declaring alerts timely to true threats and reducing the false alarms. We compare two conflict detection schemes, namely, geometric and probabilistic method,...
A scheme is proposed to detect, identify, and estimate failures, including abrupt total, partial, and multiple failures, in a dynamic system. The new approach, named IM3L, is developed based on variable-structure multiple-model estimation, which allows to improve performance by online adaptation. It uses an interacting multiple model estimator for fault detection and identification but the maximum...
In this paper we propose an approach to detect, identify and estimate failures, including partial failures, in a dynamic system. The approach (IM/sup 3/L) uses the interacting multiple model (IMM) estimators to detect and identify total and partial failures and the maximum likelihood estimator (MLE) to estimate the extent of failure. It provides an effective and integrated framework for fault detection,...
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