Identification of dynamic networks with rank-reduced process noise * *This work has received funding from the European Research Council (ERC), Advanced Research Grant SYSDYNET, under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 694504).

Horizon 2020 ◽

Research And Innovation ◽

Programme Grant ◽

Research Grant

Conditions for handling confounding variables in dynamic networks * *The work of A. Dankers is supported by Mitacs of Canada. The work of P. Van den Hof and H. Weerts is supported by the European Research Council (ERC), Advanced Research Grant SYSDYNET, under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 694504).

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.771 ◽

2017 ◽

Vol 50 (1) ◽

pp. 3983-3988 ◽

Cited By ~ 3

Author(s):

Arne Dankers ◽

Paul M.J. Van den Hof ◽

Donatello Materassi ◽

Harm H.M. Weerts

Keyword(s):

Research Council ◽

Dynamic Networks ◽

European Research ◽

Horizon 2020 ◽

Research And Innovation ◽

Confounding Variables ◽

Programme Grant ◽

Research Grant

A bicompartmental dynamic tumor growth model * *This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 679681). Dávid Csercsik received funding from the Hungarian National Fund (OTKA NF-104706).

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.2119 ◽

2017 ◽

Vol 50 (1) ◽

pp. 12216-12221

Author(s):

Dávid Csercsik ◽

Johanna Sápi ◽

Levente Kovács

Keyword(s):

Tumor Growth ◽

Growth Model ◽

Research Council ◽

European Research ◽

Horizon 2020 ◽

Research And Innovation ◽

Tumor Growth Model ◽

Optimum Experimental Design for Patient Specific Mathematical Leukopenia Models * *This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 647573), which is gratefully acknowledged.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2016.12.150 ◽

2016 ◽

Vol 49 (26) ◽

pp. 344-349 ◽

Cited By ~ 1

Author(s):

Felix Jost ◽

Kristine Rinke ◽

Thomas Fischer ◽

Enrico Schalk ◽

Sebastian Sager

Keyword(s):

Experimental Design ◽

Research Council ◽

Patient Specific ◽

European Research ◽

Horizon 2020 ◽

Research And Innovation ◽

Optimum Experimental Design ◽

Randomized Constraints Consensus for Distributed Robust Linear Programming * *This work is supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme, grant agreement No 638992 - OPT4SMART, (GN) and by a grant from the Singapore National Research Foundation (NRF) under the ASPIRE project, grant No NCR-NCR001-040 (MC&RB).

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.763 ◽

2017 ◽

Vol 50 (1) ◽

pp. 4973-4978 ◽

Cited By ~ 2

Author(s):

Mohammadreza Chamanbaz ◽

Giuseppe Notarstefano ◽

Roland Bouffanais

Keyword(s):

Linear Programming ◽

Research Council ◽

European Research ◽

Horizon 2020 ◽

Research And Innovation ◽

Robust Linear Programming ◽

Positive nonlinear control of tumor growth using angiogenic inhibition * *This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 679681).

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.2522 ◽

2017 ◽

Vol 50 (1) ◽

pp. 15068-15073 ◽

Cited By ~ 4

Author(s):

Dániel András Drexler ◽

Johanna Sápi ◽

Levente Kovács

Keyword(s):

Nonlinear Control ◽

Tumor Growth ◽

Research Council ◽

European Research ◽

Horizon 2020 ◽

Research And Innovation ◽

Fractional Order PID-type Feedback in Fixed Point Transformation-based Adaptive Control of the FitzHugh-Nagumo Neuron Model with Time-delay ⁎ ⁎This project has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 679681). Tamás Faitli has been supported by the “New National Excellence Program of the Ministry of Human Capacities”, application number UNKP-17-1-I, for the period 01 September 2017 – 30 June 2018.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.06.108 ◽

2018 ◽

Vol 51 (4) ◽

pp. 906-911 ◽

Cited By ~ 2

Author(s):

József K. Tar ◽

János F. Bitó ◽

Levente Kovács ◽

Tamás Faitli

Keyword(s):

Fixed Point ◽

Adaptive Control ◽

Research Council ◽

Neuron Model ◽

European Research ◽

Horizon 2020 ◽

Research And Innovation ◽

Fractional Order Pid ◽

Programme Grant ◽

Type Feedback

Optimal PID Based Computed Torque Control of Tumor Growth Models ⁎ ⁎This project has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 679681). B.G. Czak was supported by the UNKP-17-2/I. New National Excellence Program of the Ministry of Human Capacities.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.06.109 ◽

2018 ◽

Vol 51 (4) ◽

pp. 900-905

Author(s):

Bence G. Czakó ◽

Johanna Sápi ◽

Levente Kovács

Keyword(s):

Research Council ◽

Growth Models ◽

Torque Control ◽

European Research ◽

Horizon 2020 ◽

Research And Innovation ◽

Computed Torque Control ◽

Tumor Growth Models ◽

Programme Grant ◽

Computed Torque

Design Degrees of Freedom in a Hybrid Observer for a Continuous Plant under an Intrinsic Pulse-modulated Feedback∗∗A. Medvedev and D. Yamalova are in part financed by the European Research Council, Advanced Grant 247035 (SysTEAM) and Grant 2012-3153 from the Swedish Research Council. D. Yamalova and A. Churilov were partly supported by Saint Petersburg State University, Grant 6.38.230.2015. A. Churilov was partly finanaced by the Russian Foundation for Basic Research, Grant 14-01-00107-a.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.09.337 ◽

2015 ◽

Vol 48 (11) ◽

pp. 1080-1085 ◽

Cited By ~ 2

Author(s):

Diana Yamalova ◽

Alexander Churilov ◽

Alexander Medvedev

Keyword(s):

Degrees Of Freedom ◽

Research Council ◽

Basic Research ◽

State University ◽

European Research ◽

Saint Petersburg ◽

Continuous Plant ◽

Basic Research Grant ◽

Research Grant

Optimal discrete time control of antiangiogenic tumor therapy * *This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 679681). D.A. Drexler was also supported by a Marie Curie International Research Staff Exchange Scheme Fellowship within the 7th European Community Framework Programme, FP7-PEOPLE-2012-IRSES-316338.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.2337 ◽

2017 ◽

Vol 50 (1) ◽

pp. 13504-13509 ◽

Cited By ~ 4

Author(s):

Dániel András Drexler ◽

Johanna Sápi ◽

Levente Kovács

Keyword(s):

Research Council ◽

Tumor Therapy ◽

Framework Programme ◽

Marie Curie ◽

Research Staff ◽

Horizon 2020 ◽

Research And Innovation ◽

Time Control ◽

Staff Exchange ◽

Religious American and Secular European Courts, or vice versa? A Study of Institutional Cross-Pollination This chapter draws on research conducted in the context of the European Research Council (ERC)-funded Grassrootsmobilise research programme (Grant No. 228463), of which the author is principal investigator. It was drafted during the author’s research associateship with the London School of Economics Hellenic Observatory. I would like to extend my thanks to the interviewees who kindly gave of their time in order to contribute to this research, as well as to Grace Davie and Jim Richardson for their comments on an earlier draft.

Peter L. Berger and the Sociology of Religion : 50 Years after The Sacred Canopy ◽

10.5040/9781350061910.0013 ◽

2018 ◽

Keyword(s):

Research Council ◽

Research Programme ◽

Principal Investigator ◽

London School ◽

European Research ◽

Cross Pollination ◽

London School Of Economics ◽