Results 1 to 10 of about 151,468 (170)
Set-Membership Based Hybrid Kalman Filter for Nonlinear State Estimation under Systematic Uncertainty [PDF]
Sensors, 2020 This paper presents a new set-membership based hybrid Kalman filter (SM-HKF) by combining the Kalman filtering (KF) framework with the set-membership concept for nonlinear state estimation under systematic uncertainty consisted of both stochastic error ...
Yan Zhao +3 more
doaj +2 more sources
The Quantum Complexity of Set Membership [PDF]
Algorithmica, 2000 We study the quantum complexity of the static set membership problem: given a subset S (|S| \leq n) of a universe of size m (m \gg n), store it as a table of bits so that queries of the form `Is x \in S?' can be answered. The goal is to use a small table
Radhakrishnan, Jaikumar +2 more
core +8 more sources
Determination of set-membership identifiability sets [PDF]
Mathematics in Computer Science, 2014 International audienceThis paper concerns the concept of set-membership identifiability introduced in \cite{jauberthie}. Given a model, a set-membership identifiable set is a connected set in the parameter domain of the model such that its corresponding ...
C. Jauberthie +16 more
core +7 more sources
Distributed interpolatory algorithms for set membership estimation [PDF]
IEEE Transactions on Automatic Control, 2018 This work addresses the distributed estimation problem in a set membership framework. The agents of a network collect measurements which are affected by bounded errors, thus implying that the unknown parameters to be estimated belong to a suitable ...
Farina, Francesco +2 more
core +7 more sources
Set Membership with Non-Adaptive Bit Probes [PDF]
Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2016 We consider the non-adaptive bit-probe complexity of the set membership problem, where a set S of size at most n from a universe of size m is to be represented as a short bit vector in order to answer membership queries of the form "Is x in S?" by non ...
Garg, Mohit, Radhakrishnan, Jaikumar
core +8 more sources
Set-membership parity space hybrid system diagnosis [PDF]
International Journal of Systems Science, 2016 In this paper, diagnosis for hybrid systems using a parity space approach that considers model uncertainty is proposed. The hybrid diagnoser is composed of modules which carry out the mode recognition and diagnosis tasks interacting each other, since the
Blesa, Joaquim +3 more
core +7 more sources
Set membership experimental design for biological systems. [PDF]
BMC Syst Biol, 2012 Experimental design approaches for biological systems are needed to help conserve the limited resources that are allocated for performing experiments. The assumptions used when assigning probability density functions to characterize uncertainty in biological systems are unwarranted when only a small number of measurements can be obtained.
Marvel SW, Williams CM.
europepmc +4 more sources
Clustering Algorithm Based on Data indeterminacy in Neutrosophic Set [PDF]
Neutrosophic Sets and Systems, 2022 Clustering research is an important field in machine learning, pattern recognition and other fields. The neutrosophic set characterizes the data through true membership functions, indeterminate membership functions and false membership functions.
Dan Zhang +4 more
doaj +1 more source
A Non-Iterative Approach to Direct Data-Driven Control Design of MIMO LTI Systems
IEEE Access, 2023 This paper proposes a non-iterative direct data-driven technique that deals with linear time-invariant (LTI) controller design by directly identifying the controller from input-output data without using plant identification.
Mohammad Abuabiah +3 more
doaj +1 more source
Adaptive Data-Driven Control for Linear Time Varying Systems
Machines, 2021 In this paper, we propose an adaptive data-driven control approach for linear time varying systems, affected by bounded measurement noise. The plant to be controlled is assumed to be unknown, and no information in regard to its time varying behaviour is ...
Talal Abdalla
doaj +1 more source