K. Tsakalis

Intel (United Kingdom) — United Kingdom

Engineering · Physical Sciences

24h-index2.3kcitations90works0.02yr avg
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Research Topics

Advanced Control Systems Optimization(29), Control Systems and Identification(27), Iterative Learning Control Systems(17), Neural dynamics and brain function(16), Adaptive Control of Nonlinear Systems(12)

Publications90 total

On The Use Of Labview In Signals And Systems
2020· 7 citedOpen Access
Interdisciplinary Research On Modeling And Scheduling Of Semiconductor Manufacturing Operations
2020· 3 cited
Minimum Inventory Variability Dispatching Policies (Mivp)
2020· 1 citedOpen Access
A first study on nanoporous tungsten recording electrodes for deep brain stimulation
Materials Letters·2019· 11 cited
An Approach to Bumpless Control for LPV Modeled Inverters in a Microgrid
IEEE Transactions on Power Electronics·2014· 9 cited
H<inf>∞</inf> and gain scheduled H<inf>∞</inf> control for islanded microgrids
2013· 1 cited
Toward Design of Nonlinear ADP Learning Controllers with Performance Assurance
2012· 1 cited
Approximate loop shaping in PID parameter adaptation
International Journal of Adaptive Control and Signal Processing·2012· 10 cited
Identifying data-dependent system scenarios in a dynamic embedded system
2012· 7 cited
Identification for PID Control
Advances in industrial control·2012· 6 cited
Work in progress — Modules and laboratories for a pathways course in signals and systems
2011· 2 cited
CONTROL OF SYNCHRONIZATION OF BRAIN DYNAMICS LEADS TO CONTROL OF EPILEPTIC SEIZURES IN RODENTS
International Journal of Neural Systems·2009· 147 citedOpen Access
Homeostasis of Brain Dynamics in Epilepsy: A Feedback Control Systems Perspective of Seizures
Annals of Biomedical Engineering·2009· 61 citedOpen Access
Closed-loop control of epileptic seizures via deep brain stimulation in a rodent model of chronic epilepsy
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany·2009· 2 cited
SEIZURES | A New Look into Epilepsy as a Dynamical Disorder : Seizure Prediction, Resetting and Control
Elsevier eBooks·2009· 11 cited
Information Flow in Coupled Nonlinear Systems: Application to the Epileptic Human Brain
Springer optimization and its applications·2008· 22 cited
Brain Dynamics and Modeling in Epilepsy: Prediction and Control Studies
Understanding complex systems·2008· 5 cited
Measuring resetting of brain dynamics at epileptic seizures: application of global optimization and spatial synchronization techniques
Journal of Combinatorial Optimization·2008· 34 citedOpen Access
Controlling epileptic seizures in a neural mass model
Journal of Combinatorial Optimization·2008· 44 cited
A new robust-control-oriented system identification method
IFAC Proceedings Volumes·2008· 3 cited
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Frequent Co-authors

Leonidas Iasemidis(15), Shivkumar Sabesan(10), Pétros Ioannou(8), Niranjan Chakravarthy(6), Andreas Spanias(5), E. Grassi(5), Levi B. Good(4), David M. Treiman(4), S. Dash(4), Awadhesh Prasad(3), S. Limanond(3), Sachi Dash(3), S.V. Gaikwad(2), W. MacArthur(2), G. Stein(2), Pãnos M. Pardalos(2), Thrassos Thrasyvoulou(2), N. Chakravarthy(2), K. Stoddard(2), P.E. Crouch(2)