Publications

Below is a list of the 50 latest publications with connection to ACCESS.

[1]
M. Maros och J. Jaldén, "ADMM for Distributed Dynamic Beam-forming," IEEE Transactions on Signal and Information Processing over Networks, 4(2), 220-235.
[2]
N. Everitt, G. Bottegal och H. Hjalmarsson, "An empirical Bayes approach to identification of modules in dynamic networks," Automatica, 91, 144-151.
[3]
M. S. Stankovic, S. S. Stankovic och K. H. Johansson, "Asynchronous Distributed Blind Calibration of Sensor Networks Under Noisy Measurements," IEEE Transactions on Big Data, 5(1), 571-582.
[5]
D. Shi et al., "Causality Countermeasures for Anomaly Detection in Cyber-Physical Systems," IEEE Transactions on Automatic Control, 63(2), 386-401.
[6]
P.-J. Meyer och D. V. Dimarogonas, "Compositional abstraction refinement for control synthesis," Nonlinear Analysis : Hybrid Systems, 27, 437-451.
[7]
Y. Long et al., "Distributed nonlinear model predictive control based on contraction theory," International Journal of Robust and Nonlinear Control, 28(2), 492-503.
[8]
A. Parisio et al., "Energy management systems for intelligent buildings in smart grids," i Intelligent Building Control Systems : A Survey of Modern Building Control and Sensing Strategies, : Springer, 2018, s. 253-291.
[9]
M. . R. Abdalmoaty, C. R. Rojas och H. Hjalmarsson, "Identication of a Class of Nonlinear Dynamical Networks," i 18th IFAC Symposium on System Identification, 2018.
[10]
J. Wu et al., "Kalman Filtering Over Fading Channels : Zero-One Laws and Almost Sure Stabilities," IEEE Transactions on Information Theory, 64(10), 6731-6742.
[11]
J. Bjurgert, P. E. Valenzuela och C. R. Rojas, "On Adaptive Boosting for System Identification," IEEE Transactions on Neural Networks and Learning Systems, 29(9), 4510-4514.
[12]
A. Johansson et al., "Optimization of the H∞-norm of Dynamic Flow Networks," i 2018 Annual American Control Conference (ACC), 2018, s. 1280-1285.
[13]
H. Flamme, E. Tegling och H. Sandberg, "Performance Limitations of Distributed Integral Control in Power Networks under Noisy Measurements," i Proceedings of the American Control Conference, 2018, s. 5380-5386.
[14]
X. Ren et al., "Quickest Change Detection in Adaptive Censoring Sensor Networks," IEEE Transactions on Big Data, 5(1), 239-250.
[15]
B. Dai et al., "Secure Communication Over Finite State Multiple-Access Wiretap Channel With Delayed Feedback," IEEE Journal on Selected Areas in Communications, 36(4), 723-736.
[16]
X. Ren och Y. Mo, "Secure Detection : Performance Metric and Sensor Deployment Strategy," IEEE Transactions on Signal Processing, 66(17), 4450-4460.
[17]
P. Larsson, L. K. Rasmussen och M. Skoglund, "The Golden Quantizer : The Complex Gaussian Random Variable Case," IEEE Wireless Communications Letters, 7(3), 312-315.
[19]
S. Trifunovic et al., "A Decade of Research in Opportunistic Networks : Challenges, Relevance, and Future Directions," IEEE Communications Magazine, 55(1), 168-173.
[20]
T. Yang et al., "A Distributed Algorithm for Economic Dispatch Over Time-Varying Directed Networks With Delays," IEEE transactions on industrial electronics (1982. Print), 64(6), 5095-5106.
[22]
J. Wahlström et al., "A Hidden Markov Model for Seismocardiography," IEEE Transactions on Biomedical Engineering, 64(10), 2361-2372.
[23]
M. Guinaldo och D. V. Dimarogonas, "A hybrid systems framework for multi agent task planning and control," i Proceedings of the American Control Conference, 2017, s. 1181-1186.
[24]
V. Pasku et al., "A Magnetic Ranging-Aided Dead-Reckoning Positioning System for Pedestrian Applications," IEEE Transactions on Instrumentation and Measurement, 66(5), 953-963.
[25]
V. Turri et al., "A model predictive controller for non-cooperative eco-platooning," i 2017 American Control Conference (ACC) 24-26 May 2017, 2017, s. 2309-2314.
[26]
G. Bottegal, H. Hjalmarsson och G. Pillonetto, "A new kernel-based approach to system identification with quantized output data," Automatica, 85, 145-152.
[27]
A. Nikou et al., "A Nonlinear Model Predictive Control scheme for cooperative manipulation with singularity and collision avoidance," i 2017 25th Mediterranean Conference on Control and Automation, MED 2017, 2017, s. 707-712.
[28]
R. S. Risuleo, G. Bottegal och H. Hjalmarsson, "A nonparametric kernel-based approach to Hammerstein system identification," Automatica, 85, 234-247.
[29]
S. Heshmati-alamdari et al., "A Robust Force Control Approach for Underwater Vehicle Manipulator Systems," IFAC-PapersOnLine, 50(1), 11197-11202.
[31]
P.-J. Meyer och D. V. Dimarogonas, "Abstraction refinement and plan revision for control synthesis under high level specifications," IFAC-PapersOnLine, 50(1), 9254-9259.
[32]
L. Gerencser, H. Hjalmarsson och L. Huang, "Adaptive Input Design for LTI Systems," IEEE Transactions on Automatic Control, 62(5), 2390-2405.
[33]
H. Puttnies, D. Timmermann och P. Danielis, "An Approach for Precise, Scalable, and Platform Independent Clock Synchronization," i 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017, 2017, s. 461-466.
[34]
V. Ulman et al., "An objective comparison of cell-tracking algorithms," Nature Methods, 14(12), 1141-+.
[35]
J. Milosevic et al., "Analysis and Mitigation of Bias Injection Attacks Against a Kalman Filter," IFAC-PapersOnLine, 50(1), 8393-8398.
[36]
A. Ebadat et al., "Application-oriented input design for room occupancy estimation algorithms," i 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017.
[37]
M. Annergren et al., "Application-Oriented Input Design in System Identification Optimal input design for control," IEEE CONTROL SYSTEMS MAGAZINE, 37(2), 31-56.
[38]
R. S. Risuleo, G. Bottegal och H. Hjalmarsson, "Approximate inference of nonparametric Hammerstein models," IFAC-PapersOnLine, 50(1), 8333-8338.
[39]
M. Galrinho, N. Everitt och H. Hjalmarsson, "ARX modeling of unstable linear systems," Automatica, 75, 167-171.
[40]
W. Xia et al., "Balance Conditions in Discrete-Time Consensus Algorithms," i 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017.
[41]
M. Andreasson et al., "Coherence in Synchronizing Power Networks with Distributed Integral Control," i 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, 2017, s. 6683-6688.
[42]
P.-J. Meyer och D. V. Dimarogonas, "Compositional abstraction refinement for control synthesis under lasso-shaped specifications," i American Control Conference (ACC), 2017, 2017, s. 523-528.
[43]
[45]
A. Owrang et al., "Consistent Change Point Detection for Piecewise Constant Signals With Normalized Fused LASSO," IEEE Signal Processing Letters, 24(6), 799-803.
[46]
S. Andersson, A. Nikou och D. V. Dimarogonas, "Control Synthesis for Multi-Agent Systems under Metric Interval Temporal Logic Specifications," i IFAC-PapersOnLine, 2017, s. 2397-2402.
[47]
T. Yang et al., "Cooperative Optimal Coordination for Distributed Energy Resources," i 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017, s. 6334-6339.
[48]
A. Nikou et al., "Cooperative planning for coupled multi-agent systems under timed temporal specifications," i 2017 American Control Conference (ACC) 24-26 May 2017, 2017, s. 1847-1852.
[49]
A. Nikou et al., "Cooperative Planning for Coupled Multi-Agent Systems under Timed Temporal Specifications," i 2017 AMERICAN CONTROL CONFERENCE (ACC), 2017, s. 1847-1852.
[50]
L. Persson, T. Muskardin och B. Wahlberg, "Cooperative Rendezvous of Ground Vehicle and Aerial Vehicle using Model Predictive Control," i 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017, s. 2819-2824.
Fullständig lista i KTH:s pubilkationsportal
Till sidans topp