Mobile control of distributed parameter systems
Mobile control of distributed parameter systems
Qualitative and quantitative experiment design for phenomenological models—a survey
Automatica (Journal of IFAC)
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Optimization: algorithms and consistent approximations
Optimization: algorithms and consistent approximations
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Computational Methods for Inverse Problems
Computational Methods for Inverse Problems
A variational finite element method for source inversion for convective-diffusive transport
Finite Elements in Analysis and Design - Special issue: 14th Robert J. Melosh competition
Wireless Sensor Networks: An Information Processing Approach
Wireless Sensor Networks: An Information Processing Approach
Rapid Source Inversion for Chemical/Biological Attacks, Part 1: The Steady-State Case
SIAM Journal on Optimization
D-optimal design of a monitoring network for parameter estimation of distributed systems
Journal of Global Optimization
Real-Time PDE-Constrained Optimization (Computational Science and Engineering)
Real-Time PDE-Constrained Optimization (Computational Science and Engineering)
Estimation of Spatially Distributed Processes Using Mobile Spatially Distributed Sensor Network
SIAM Journal on Control and Optimization
Configuring A Sensor Network for Fault Detection in Distributed Parameter Systems
International Journal of Applied Mathematics and Computer Science - Issues in Fault Diagnosis and Fault Tolerant Control
Detection and localization of vapor-emitting sources
IEEE Transactions on Signal Processing
Localizing vapor-emitting sources by moving sensors
IEEE Transactions on Signal Processing
Landmine detection and localization using chemical sensor arrayprocessing
IEEE Transactions on Signal Processing
Detecting and estimating biochemical dispersion of a moving source in a semi-infinite medium
IEEE Transactions on Signal Processing - Part I
Survey A review of methods for input/output selection
Automatica (Journal of IFAC)
Optimal sensor placement and motion coordination for target tracking
Automatica (Journal of IFAC)
From experiment design to closed-loop control
Automatica (Journal of IFAC)
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In a typical moving contaminating source identification problem, after some type of biological or chemical contamination has occurred, there is a developing cloud of dangerous or toxic material. In order to detect and localize the contamination source, a sensor network can be used. Up to now, however, approaches aiming at guaranteeing a dense region coverage or satisfactory network connectivity have dominated this line of research and abstracted away from the mathematical description of the physical processes underlying the observed phenomena. The present work aims at bridging this gap and meeting the needs created in the context of the source identification problem. We assume that the paths of the moving sources are unknown, but they are sufficiently smooth to be approximated by combinations of given basis functions. This parametrization makes it possible to reduce the source detection and estimation problem to that of parameter identification. In order to estimate the source and medium parameters, the maximum-likelihood estimator is used. Based on a scalar measure of performance defined on the Fisher information matrix related to the unknown parameters, which is commonly used in optimum experimental design theory, the problem is formulated as an optimal control one. From a practical point of view, it is desirable to have the computations dynamic data driven, i.e., the current measurements from the mobile sensors must serve as a basis for the update of parameter estimates and these, in turn, can be used to correct the sensor movements. In the proposed research, an attempt will also be made at applying a nonlinear model-predictive-control-like approach to attack this issue.