182 citations · 1k across the 67 of their papers we have counts for
6 papers · 1 filter
Maximum Hands-Off Control: A Paradigm of Control Effort Minimization
M. Nagahara, D. E. Quevedo, D. Nesic
In this paper, we propose a new paradigm of control, called a maximum hands-off control. A hands-off control is defined as a control that has a short support per unit time. The max…
Hands-Off Control as Green Control
Masaaki Nagahara, Daniel E. Quevedo, Dragan Nesic
In this article, we introduce a new paradigm of control, called hands-off control, which can save energy and reduce CO2 emissions in control systems. A hands-off control is defined…
Anytime Control using Input Sequences with Markovian Processor Availability
Daniel E. Quevedo, Wann-Jiun Ma, Vijay Gupta
We study an anytime control algorithm for situations where the processing resources available for control are time-varying in an a priori unknown fashion. Thus, at times, processin…
Performance vs complexity trade-offs for Markovian networked jump estimators
Daniel Dolz, Daniel E. Quevedo, Ignacio Peñarrocha +1
This paper addresses the design of a state observer for networked systems with random delays and dropouts. The model of plant and network covers the cases of multiple sensors, out-…
An Optimal Transmission Strategy for Kalman Filtering over Packet Dropping Links with Imperfect Acknowledgements
Mojtaba Nourian, Alex S. Leong, Subhrakanti Dey +1
This paper presents a novel design methodology for optimal transmission policies at a smart sensor to remotely estimate the state of a stable linear stochastic dynamical system. Th…
Transmission Power Scheduling for Energy Harvesting Sensor in Remote State Estimation
Yuzhe Li, Daniel E. Quevedo, Vincent Lau +2
We study remote estimation in a wireless sensor network. Instead of using a conventional battery-powered sensor, a sensor equipped with an energy harvester which can obtain energy…