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State space methods for phase amplitude coupling analysis [PDF]
Scientific Reports, 2022 Phase amplitude coupling (PAC) is thought to play a fundamental role in the dynamic coordination of brain circuits and systems. There are however growing concerns that existing methods for PAC analysis are prone to error and misinterpretation.
Hugo Soulat +3 more
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Statistical Software for State Space Methods [PDF]
Journal of Statistical Software, 2011 In this paper we review the state space approach to time series analysis and establish the notation that is adopted in this special volume of the Journal of Statistical Software.
Jacques J. F. Commandeur +2 more
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Ecological culture of students in the trends of the Concept of sustainable development [PDF]
E3S Web of Conferences, 2021 The concept of sustainable development (SD) is used by the international community to address the complex interconnected social, environmental and economic challenges of modern society. Solving SD tasks depends on the quality of training of professionals
Grishaeva Yulia +5 more
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State-space predictive control [PDF]
Modeling, Identification and Control, 1992 This paper deals with a predictive control strategy based on state-space models. Important issues concerning inherent model identification and optimal control computation are briefly discussed.
Jens G. Balchen +2 more
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Optimal Hardware and Control Co-Design Applied to an Active Car Suspension Setup
Machines, 2021 For complex systems, it is not easy to obtain optimal designs for the hardware architecture and control configurations. Every design aspect influences the final performance, and often the interactions of the different components cannot be clearly ...
Michiel Haemers +3 more
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Approximate Methods for State-Space Models [PDF]
Journal of the American Statistical Association, 2010 31 pages, 4 figures. Different pagination from journal version due to incompatible style files but same content; the supplemental file for the journal appears here as appendices B--E.
Koyama, Shinsuke +3 more
openaire +4 more sources
State Space Methods inStata [PDF]
Journal of Statistical Software, 2011 We illustrate how to estimate parameters of linear state-space models using the Stata program sspace. We provide examples of how to use sspace to estimate the parameters of unobserved-component models, vector autoregressive moving-average models, and dynamic-factor models.
Drukker, David M., Gates, Richard B.
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A method for the identification of state space models from input and output measurements [PDF]
Modeling, Identification and Control, 1995 In this paper we present a simple and general algorithm for the combined deterministic stochastic realization problem directly from known input and output time series.
David Di Ruscio
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IAE Minimization in Sliding Mode Control With Input and Velocity Constraints
IEEE Access, 2022 In this work an optimal sliding mode controller for second order, nonlinear systems is proposed. First, the sliding surface is selected to obtain finite time convergence to the desired state.
Mateusz Pietrala +2 more
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Quickest attack detection in smart grid based on sequential Monte Carlo filtering
IET Smart Grid, 2020 Quick and accurate detection of cyber-attacks is key to the normal operation of the smart grid system. In this study, joint state estimation and sequential attack detection method for a given bus with grid frequency drift is proposed that utilises the ...
Leian Chen, Xiaodong Wang
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