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20132025
most citedTime Distributed Optimization for Model Predictive Control: Stability, Robustness, and Constraint Satisfaction

82 citations · 486 across the 90 of their papers we have counts for

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Showing 2017Show all

7 papers · 1 filter

eess.SY2017

Explicit Reference Governor for the Constrained Control of Time-Delayed Linear Systems

Marco M. Nicotra, Tam Nguyen, Emanuele Garone +1

This paper introduces an explicit reference governor approach for controlling time delay linear systems subject to state and input constraints. The proposed framework relies on sui…

eess.SY2017★ 1 cited

Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected vehicle prognostics

Valentina Breschi, Ilya Kolmanovsky, Alberto Bemporad

As the connectivity of consumer devices is rapidly growing and cloud computing technologies are becoming more widespread, cloud-aided techniques for parameter estimation can be des…

eess.SY2017

Embedding Constrained Model Predictive Control in a Continuous-Time Dynamic Feedback

Marco M. Nicotra, Dominic Liao-McPherson, Ilya V. Kolmanovsky

This paper introduces a continuous-time constrained nonlinear control scheme which implements a model predictive control strategy as a continuous-time dynamic system. The approach…

math.OC2017

Attitude Control of a 2U Cubesat by Magnetic and Air Drag Torques

Richard Sutherland, Ilya Kolmanovsky, Anouck Girard

This paper describes the development of a magnetic attitude control subsystem for a 2U cubesat. Due to the presence of gravity gradient torques, the satellite dynamics are open-loo…

math.OC2017

Constrained Spacecraft Relative Motion Planning Exploiting Periodic Natural Motion Trajectories and Invariance

Gregory R. Frey, Christopher D. Petersen, Frederick A. Leve +2

Spacecraft relative motion planning is concerned with the design and execution of maneuvers relative to a nominal target. These types of maneuvers are frequently utilized in missio…

eess.SY2017

Cloud Resource Allocation for Cloud-Based Automotive Applications

Zhaojian Li, Tianshu Chu, Ilya V. Kolmanovsky +2

There is a rapidly growing interest in the use of cloud computing for automotive vehicles to facilitate computation and data intensive tasks. Efficient utilization of on-demand clo…

eess.SY2017

H-infinity Filtering for Cloud-Aided Semi-active Suspension with Delayed Information

Zhaojian Li, Ilya Kolmanovsky, Ella Atkins +2

This chapter presents an H-infinity filtering framework for cloud-aided semiactive suspension system with time-varying delays. In this system, road profile information is downloade…