3 citations · 7 across the 3 of their papers we have counts for
6 papers
Decentralized Event-Driven Algorithms for Multi-Agent Persistent Monitoring
Nan Zhou, Christos G. Cassandras, Xi Yu +1
We address the issue of identifying conditions under which the centralized solution to the optimal multi-agent persistent monitoring problem can be recovered in a decentralized eve…
A Submodularity-Based Approach for Multi-Agent Optimal Coverage Problems
Xinmiao Sun, Christos G. Cassandras, Xiangyu Meng
We consider the optimal coverage problem where a multi-agent network is deployed in an environment with obstacles to maximize a joint event detection probability. The objective fun…
City-Scale Intelligent Systems and Platforms
Klara Nahrstedt, Christos G. Cassandras, Charlie Catlett
As of 2014, 54% of the earth's population resides in urban areas, and it is steadily increasing, expecting to reach 66% by 2050. Urban areas range from small cities with tens of th…
Optimal Event-Driven Multi-Agent Persistent Monitoring of a Finite Set of Targets
Nan Zhou, Xi Yu, Sean B. Andersson +1
We consider the problem of controlling the movement of multiple cooperating agents so as to minimize an uncertainty metric associated with a finite number of targets. In a one-dime…
Personalized Cancer Therapy Design: Robustness vs. Optimality
Julia L. Fleck, Christos G. Cassandras
Intermittent Androgen Suppression (IAS) is a treatment strategy for delaying or even preventing time to relapse of advanced prostate cancer. IAS consists of alternating cycles of t…
Infinitesimal Perturbation Analysis for Personalized Cancer Therapy Design
Julia L. Fleck, Christos G. Cassandras
We use a Stochastic Hybrid Automaton (SHA) model of prostate cancer evolution under intermittent androgen suppression (IAS) to study a threshold-based policy for therapy design. IA…