Stochastic systems: estimation, identification and adaptive control
Stochastic systems: estimation, identification and adaptive control
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Coordinated Decentralized Protocols for Failure Diagnosisof Discrete Event Systems
Discrete Event Dynamic Systems
Introduction to Discrete Event Systems
Introduction to Discrete Event Systems
A design methodology for selection and placement of sensors in multimedia surveillance systems
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Goal-oriented optimal subset selection of correlated multimedia streams
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Fault Diagnosis with Static and Dynamic Observers
Fundamenta Informaticae - Application of Concurrency to System Design, the Sixth Special Issue
Sensor placement for fault isolation in linear differential-algebraic systems
Automatica (Journal of IFAC)
Context-Based Multimedia Sensor Selection Method
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Sensor selection via convex optimization
IEEE Transactions on Signal Processing
Dynamic sensor activation for event diagnosis
ACC'09 Proceedings of the 2009 conference on American Control Conference
Cross-entropy optimization for sensor selection problems
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Optimal sensor activation for diagnosing discrete event systems
Automatica (Journal of IFAC)
Estimation of distribution algorithm for sensor selection problems
RWS'10 Proceedings of the 2010 IEEE conference on Radio and wireless symposium
Safe diagnosability for fault-tolerant supervision of discrete-event systems
Automatica (Journal of IFAC)
Localized policy-based target tracking using wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Fault Diagnosis with Static and Dynamic Observers
Fundamenta Informaticae - Application of Concurrency to System Design, the Sixth Special Issue
Optimal sensor selection for ensuring diagnosability in labeled Petri nets
Automatica (Journal of IFAC)
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We address the following sensor selection problem. We assume that a dynamic system possesses a certain property, call it Property D, when a set Γ of sensors is used. There is a cost cA associated with each set A of sensors that is a subset of Γ. Given any set of sensors that is a subset of Γ, it is possible to determine, via a test, whether the resulting system-sensor combination possesses Property D. Each test required to check whether or not Property D holds incurs a fixed cost. For each set of sensors A that is a subset of Γ there is an a priori probability pA that the test will be positive, i.e., the system-sensor combination possesses Property D. The objective is to determine a test strategy, i.e., a sequence of tests, to minimize the expected cost, associated with the tests, that is incurred until a least expensive combination of sensors that results in a system-sensor combination possessing Property D is identified. We determine conditions on the sensor costs cA and the a priori probabilities pA under which the strategy that tests combinations of sensors in increasing order of cost is optimal with respect to the aforementioned objective.