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Vulnerability of Nonlinear Filter Generators Based on Linear Finite State Machines [chapter]

Jin Hong, Dong Hoon Lee, Seongtaek Chee, Palash Sarkar
2004 Lecture Notes in Computer Science  
We also give a general method for checking whether or not a nonlinear filter generator based on an LFSM allows reduction to one that is based on an LFSR and which is vulnerable to Anderson information  ...  We present a realization of an LFSM that utilizes an LFSR. This is based on a well-known fact from linear algebra.  ...  Linear finite state machine An n-bit linear finite state machine (LFSM), denoted by M, is a pair (F n 2 , M ), where M is an n × n matrix.  ... 
doi:10.1007/978-3-540-25937-4_13 fatcat:kz2on2mjfncbbe6u3fi2sfmodu

A review on prognostic techniques for non-stationary and non-linear rotating systems

Man Shan Kan, Andy C.C. Tan, Joseph Mathew
2015 Mechanical systems and signal processing  
This review paper focuses on prognostic techniques that can be applied to rotating machinery operating under nonlinear and non-stationary conditions.  ...  The general concept of these techniques, the pros and cons of applying these methods, as well as their applications in the research field are discussed.  ...  [37] established a dynamic model and three-dimensional finite element analytical model of cracked gear structure based on cracked beam theory.  ... 
doi:10.1016/j.ymssp.2015.02.016 fatcat:rlg2fd26yzhh5ivusfb5vppopi

An Inverter Nonlinearity-Independent Flux Observer for Direct Torque-Controlled High-Performance Interior Permanent Magnet Brushless AC Drives

Mikail Koc, Jiabin Wang, Tianfu Sun
2017 IEEE transactions on power electronics  
The observer takes machine nonlinearities into account and is independent of inverter nonlinearities, deadtime and armature resistance variation at steady-states since such inaccuracies are compensated  ...  Superiority of the observer when compared to the state-of-the-art schemes has been illustrated by both extensive simulations and experimental results of a 10kW IPM-BLAC machine designed for traction applications  ...  A CM based observer, on the other hand, is robust to measurement error at low speeds; however, this method is vulnerable to machine parameter variations and nonlinearities which is an important drawback  ... 
doi:10.1109/tpel.2016.2524644 fatcat:f26xg4sjnrgvhatf5avlqq2w3a

State Estimators in Soft Sensing and Sensor Fusion for Sustainable Manufacturing

Marion McAfee, Mandana Kariminejad, Albert Weinert, Saif Huq, Johannes D. Stigter, David Tormey
2022 Sustainability  
State estimators, including observers and Bayesian filters, are a class of model-based algorithms for estimating variables in a dynamical system given the sensor measurements of related system states.  ...  In this paper, we introduce the concepts and main methods of state estimation and review recent applications in improving the sustainability of manufacturing processes across sectors including industrial  ...  Adaptive filters are based on dynamically adjusting the parameters of the supposedly optimum filter based on the estimates of the unknown parameters.  ... 
doi:10.3390/su14063635 fatcat:3a2twj3nlzbszlhc5ijluvekde

2019 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 49

2019 IEEE Transactions on Systems, Man & Cybernetics. Systems  
Finite-Time Adaptive Fuzzy Control for Nonlinear Systems With Full State Constraints.  ...  ., +, TSMC March 2019 612-622 Fast and Stable Learning of Dynamical Systems Based on Extreme Learning Machine.  ... 
doi:10.1109/tsmc.2019.2956665 fatcat:xhplbanlyne7nl7gp2pbrd62oi

2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50

2020 IEEE Transactions on Systems, Man & Cybernetics. Systems  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Tang, X., +, TSMC July 2020 2638-2649 Finite state machines A Polynomial-Time Algorithm to Obtain State Machine Cover of Live and Safe Petri Nets.  ...  TSMC March 2020 871-883 Linear quadratic control Active Control of Uncertain Seat Suspension System Based on a State and Disturbance Observer.  ... 
doi:10.1109/tsmc.2021.3054492 fatcat:zartzom6xvdpbbnkcw7xnsbeqy

Supporting Cyber Attack Detection via Non-Linear Analytic Prediction of IP Addresses: A Big Data Analytics Technique

Alfredo Cuzzocrea, Enzo Mumolo, Edoardo Fadda, Marco Tessarotto
2020 Proceedings of the 26th International Conference on Distributed Multimedia Systems  
We used nonlinear analysis based on Volterra's kernels and Hammerstein's models.  ...  Instead, in this paper we consider the sequence of IP addresses as a numerical sequence and develop the nonlinear analysis of the numerical sequence.  ...  In the following, we assume that the non-linearity is a finite polynomial expansion, and the linear dynamic is realized with a Finite Impulse Response (FIR) filter.  ... 
doi:10.18293/dmsviva20-018 dblp:conf/dms/MumoloFTC20 fatcat:bsdgzwfdarg2bnpwfjvnrn3esm

Dynamic Anomaly Detection with High-fidelity Simulators: A Convex Optimization Approach [article]

Kaikai Pan, Peter Palensky, Peyman Mohajerin Esfahani
2020 arXiv   pre-print
On the one hand, mathematical models of these high-fidelity simulators are typically "intractable" to apply existing model-based approaches.  ...  On the other hand, pure data-driven methods developed primarily in the machine learning literature neglect our knowledge about the underlying dynamics of the systems.  ...  The performance of the two filters (the filter of our approach and the pure model-based filter from [17] ) is validated with two sets of outputs: one from the abstract linear model (2) (i.e., without  ... 
arXiv:2004.13927v3 fatcat:enoenvt5xje3lezk3op2wajoq4

Application of Particle Filter for Target Tracking in Wireless Sensor Networks

Hui-ying Dong, Bin Cao, Yue-ping Yang
2010 2010 International Conference on Communications and Mobile Computing  
There are many Particle Filter methods, and almost all of them are based on three operations: particle propagation, weight computation, and resampling.  ...  During the past few years, Particle Filters have become very popular because of their ability to process observations represented by nonlinear state-space models where the noise of the model can be non-Gaussian  ...  Nonlinear Filtering in State-Space System 3-1.  ... 
doi:10.1109/cmc.2010.228 fatcat:skekgjomvnektguzulm3c2dhjy

Current Trends for State-of-Charge (SoC) Estimation in Lithium-Ion Battery Electric Vehicles

Ingvild B. Espedal, Asanthi Jinasena, Odne S. Burheim, Jacob J. Lamb
2021 Energies  
One parameter that is included in the BMS is the state-of-charge (SoC) of the battery.  ...  of the LIB.  ...  Cubature Particle Filter Cubature particle filter is based on spherical-radial cubature rule of the third degree and generally used in high-dimensional state estimations.  ... 
doi:10.3390/en14113284 fatcat:w2kyybjdfjcsdmvgvqikpqzkb4

Two Alerts for Design of Certain Stream Ciphers: Trapped LFSR and Weak Resilient Function over GF(q) [chapter]

Paul Camion, Miodrag J. Mihaljević, Hideki Imai
2003 Lecture Notes in Computer Science  
It is shown that although certain keystream generators over GF(q) are resistant against correlation and linear complexity based attacks, they are vulnerable by some novel attacks.  ...  The efficiency of these attacks depends on characteristics of the employed LFSRs and resilient functions.  ...  Let us recall how a linear finite state machine is a realization or an implementation of certain linear operators.  ... 
doi:10.1007/3-540-36492-7_14 fatcat:xcd3ezmpyvfxxnfduj5xhijzoy

IMS 2022

2021 IEEE Microwave Magazine  
Non-planar passive filters and multiplexers -Resonators, filters and multiplexers based on dielectric, waveguide, coaxial, or other non-planar structures.  ...  Short (10 minute) oral papers report specific refinements or improvements in the state of the art. 3.  ... 
doi:10.1109/mmm.2021.3077744 fatcat:rmqv7y7yfvfbde6qejjh6q3hni

A Survey of Applied Machine Learning Techniques for Optical OFDM based Networks [article]

Hichem Mrabet, Elias Giaccoumidis, Iyad Dayoub
2021 arXiv   pre-print
In this survey, we analyze the newest machine learning (ML) techniques for optical orthogonal frequency division multiplexing (O-OFDM)-based optical communications.  ...  In essence, these ML techniques could be beneficial for any multi-carrier approach (e.g. filter bank modulation).  ...  A very important issue for any coherent optical transmission system is that are generally vulnerable to fiber nonlinearities.  ... 
arXiv:2105.03289v1 fatcat:wfmal7ntnvhf5e2qmdeid7takq

IMS2022 CFP

2021 IEEE Microwave Magazine  
Non-planar passive filters and multiplexers -Resonators, filters and multiplexers based on dielectric, waveguide, coaxial, or other non-planar structures.  ...  Short (10 minute) oral papers report specific refinements or improvements in the state of the art. 3.  ... 
doi:10.1109/mmm.2021.3102285 fatcat:fgbstxnv7bbyfaqcx7alpanvam

IMS 2022

2021 IEEE Microwave Magazine  
Non-planar passive filters and multiplexers -Resonators, filters and multiplexers based on dielectric, waveguide, coaxial, or other non-planar structures.  ...  Short (10 minute) oral papers report specific refinements or improvements in the state of the art. 3.  ... 
doi:10.1109/mmm.2021.3088046 fatcat:hqrdk2khtbedzgx6kczud2qdqy
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