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Optimal Estimation via Nonanticipative Rate Distortion Function and Applications to Time-Varying Gauss--Markov Processes
(2018)
In this paper, we develop finite-time horizon causal filters for general processes taking values in Polish spaces using the nonanticipative rate distortion function ($NRDF$). Subsequently, we apply the $NRDF$ to design ...
Control-Coding Capacity of Decision Models Driven by Correlated Noise and Gaussian Application Examples
(2018)
We characterize the n -finite time feedback information (FTFI) control-coding capacity of decision models (DMs) driven by correlated noise. Under information stability the per unit limit, called control-coding (CC) capacity ...
Performance Index for Optimizing Sensor Fault Detection of a Class of Nonlinear Systems
(2018)
This paper develops a performance index that can be used to find the optimal design parameters of the observer-based residual generator and adaptive threshold of a fault detection scheme for a class of nonlinear systems. ...
Effective Prediction of Road Segment Occupancy for the Route-Reservation Architecture
(2018)
The effect of traffic congestion within an urban region can be eliminated by curbing the number of vehicles that use the congested part of the transport network. To do so, earlier work by the authors introduced a novel ...
Online Approximation of Prediction Intervals Using Artificial Neural Networks
(Springer International Publishing, 2018)
Prediction intervals offer a means of assessing the uncertainty of artificial neural networks’ point predictions. In this work, we propose a hybrid approach for constructing prediction intervals, combining the Bootstrap ...
Jointly-optimized Searching and Tracking with Random Finite Sets
(2019)
In this paper we investigate the problem of joint searching and tracking of multiple mobile targets by a group of mobile agents. The targets appear and disappear at random times inside a surveillance region and their ...
Optimization Based Partitioning Selection for Improved Contaminant Detection Performance
(2018)
Indoor Air Quality monitoring is an essential ingredient of intelligent buildings. The release of various airborne contaminants into the buildings, compromises the health and safety of occupants. Therefore, early contaminant ...
Queue-Based Resampling for Online Class Imbalance Learning
(Springer International Publishing, 2018)
Online class imbalance learning constitutes a new problem and an emerging research topic that focusses on the challenges of online learning under class imbalance and concept drift. Class imbalance deals with data streams ...
Effective Multi-region Traffic Control and Demand Management Using an Overlay Route-Reservation Scheme
(2018)
In this work, we assume that a heterogeneous urban area is partitioned into multiple homogeneous regions. The proposed approach creates an overlay graph which is used by the reservation architecture to control the traffic ...
A Data-Driven Bandwidth Allocation Framework With QoS Considerations for EONs
(2019)
This paper proposes a data-driven bandwidth allocation (BA) framework for periodically and dynamically reconfiguring an elastic optical network according to predictive BA (PBA) models. The proposed framework is scalable ...