Optimization and control of cyber-physical vehicle systems
A cyber-physical system (CPS) is composed of tightly-integrated computation,
communication and physical elements. Medical devices, buildings, mobile devices, robots …
communication and physical elements. Medical devices, buildings, mobile devices, robots …
Multi-armed bandit problems
Multi-armed bandit (MAB) problems are a class of sequential resource allocation problems
concerned with allocating one or more resources among several alternative (competing) …
concerned with allocating one or more resources among several alternative (competing) …
On efficient sensor scheduling for linear dynamical systems
Consider a set of sensors estimating the state of a process in which only one of these
sensors can operate at each time-step due to constraints on the overall system. The problem …
sensors can operate at each time-step due to constraints on the overall system. The problem …
Multitarget tracking in distributed sensor networks
J Liu, M Chu, JE Reich - IEEE Signal Processing Magazine, 2007 - ieeexplore.ieee.org
In this article, a survey of techniques for tracking multiple targets in distributed sensor
networks is provided and introduce some recent developments. The single target tracking in …
networks is provided and introduce some recent developments. The single target tracking in …
Analysis of a prediction-based mobility adaptive tracking algorithm
Target tracking in wireless sensor networks requires efficient coordination among sensor
nodes. Existing methods have focused on tree-based collaboration, selective activation, and …
nodes. Existing methods have focused on tree-based collaboration, selective activation, and …
An information-based approach to sensor management in large dynamic networks
This paper addresses the problem of sensor management for a large network of agile
sensors. Sensor management, as defined here, is the process of dynamically retasking agile …
sensors. Sensor management, as defined here, is the process of dynamically retasking agile …
Hybrid sparse array beamforming design for general rank signal models
The paper considers sparse array design for receive beamforming achieving maximum
signal-to-interference plus noise ratio (MaxSINR) for both single point source and multiple …
signal-to-interference plus noise ratio (MaxSINR) for both single point source and multiple …
Partially observable Markov decision process approximations for adaptive sensing
Adaptive sensing involves actively managing sensor resources to achieve a sensing task,
such as object detection, classification, and tracking, and represents a promising direction …
such as object detection, classification, and tracking, and represents a promising direction …
[КНИГА][B] Adaptive radar resource management
P Moo, Z Ding - 2015 - books.google.com
Radar Resource Management (RRM) is vital for optimizing the performance of modern
phased array radars, which are the primary sensor for aircraft, ships, and land platforms …
phased array radars, which are the primary sensor for aircraft, ships, and land platforms …
[PDF][PDF] A POMDP framework for coordinated guidance of autonomous UAVs for multitarget tracking
This paper discusses the application of the theory of partially observable Markov decision
processes (POMDPs) to the design of guidance algorithms for controlling the motion of …
processes (POMDPs) to the design of guidance algorithms for controlling the motion of …