Lyapunov-based adaptive state estimation for a class of nonlinear stochastic systems

10.1016/j.automatica.2012.05.002 ◽

2012 ◽

Vol 48 (7) ◽

pp. 1423-1431 ◽

Author(s):

Li Xie ◽

Pramod P. Khargonekar

Keyword(s):

State Estimation ◽

Stochastic Systems ◽

Nonlinear Stochastic Systems

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A unified framework for state estimation of nonlinear stochastic systems with unknown inputs

2013 9th Asian Control Conference (ASCC) ◽

10.1109/ascc.2013.6606330 ◽

2013 ◽

Author(s):

Chien-Shu Hsieh

Keyword(s):

State Estimation ◽

Stochastic Systems ◽

Unified Framework ◽

Nonlinear Stochastic Systems ◽

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State estimation of nonlinear stochastic systems by evolution strategies based Gaussian sum particle filter

10.1109/iccas.2007.4406812 ◽

2007 ◽

Author(s):

Katsuji Uosak ◽

Toshiharu Hatanaka

Keyword(s):

Particle Filter ◽

State Estimation ◽

Stochastic Systems ◽

Evolution Strategies ◽

Nonlinear Stochastic Systems ◽

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State estimation of nonlinear stochastic systems using a novel meta-heuristic particle filter

Swarm and Evolutionary Computation ◽

10.1016/j.swevo.2011.11.004 ◽

2012 ◽

Vol 4 ◽

pp. 44-53 ◽

Author(s):

Mohamadreza Ahmadi ◽

Hamed Mojallali ◽

Roozbeh Izadi-Zamanabadi

Keyword(s):

Particle Filter ◽

State Estimation ◽

Stochastic Systems ◽

Nonlinear Stochastic Systems

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State estimation with sensor failure for discrete-time nonlinear stochastic systems

2008 American Control Conference ◽

10.1109/acc.2008.4586559 ◽

2008 ◽

Author(s):

Franck O. Hounkpevi ◽

Edwin E. Yaz

Keyword(s):

State Estimation ◽

Discrete Time ◽

Stochastic Systems ◽

Sensor Failure ◽

Nonlinear Stochastic Systems

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Almost sure state estimation for nonlinear stochastic systems with Markovian switching

Nonlinear Dynamics ◽

10.1007/s11071-013-1231-y ◽

2014 ◽

Vol 76 (2) ◽

pp. 1591-1602 ◽

Author(s):

Xiu Kan ◽

Huisheng Shu ◽

Zhenna Li

Keyword(s):

State Estimation ◽

Stochastic Systems ◽

Markovian Switching ◽

Nonlinear Stochastic Systems

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State estimation using a fuzzy adaptive particle filter for nonlinear stochastic systems

2017 International Conference on Advanced Systems and Electric Technologies (IC_ASET) ◽

10.1109/aset.2017.7983669 ◽

2017 ◽

Author(s):

Takoua Grami ◽

Ali Sghaier Tlili

Keyword(s):

Particle Filter ◽

State Estimation ◽

Stochastic Systems ◽

Nonlinear Stochastic Systems ◽

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State estimation in discrete-time nonlinear stochastic systems subject to random data loss

2013 9th Asian Control Conference (ASCC) ◽

10.1109/ascc.2013.6606294 ◽

2013 ◽

Author(s):

S. M. Mahdi Alavi ◽

Mehrdad Saif ◽

Bahram Shafai

Keyword(s):

State Estimation ◽

Discrete Time ◽

Stochastic Systems ◽

Data Loss ◽

Nonlinear Stochastic Systems ◽

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Event-triggered state estimation for a class of nonlinear stochastic systems with mixed time delays

Proceedings of the 33rd Chinese Control Conference ◽

10.1109/chicc.2014.6895832 ◽

2014 ◽

Author(s):

Lei Zou ◽

Zidong Wang ◽

Derui Ding ◽

Hong Qiao

Keyword(s):

State Estimation ◽

Time Delays ◽

Stochastic Systems ◽

Nonlinear Stochastic Systems ◽

Mixed Time Delays ◽

Event Triggered

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State estimation of uncertain nonlinear stochastic systems with general criteria

Applied Mathematics Letters ◽

10.1016/s0893-9659(00)00201-9 ◽

2001 ◽

Vol 14 (5) ◽

pp. 605-610 ◽

Author(s):

E.E. Yaz ◽

Y.I. Yaz

Keyword(s):

State Estimation ◽

Stochastic Systems ◽

Nonlinear Stochastic Systems

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Adaptive State Estimation for a Class of Nonlinear Stochastic Systems under Generalized Lipschitz Condition

International Journal of Theoretical Physics ◽

10.1007/s10773-014-2144-3 ◽

2014 ◽

Vol 53 (11) ◽

pp. 3935-3942 ◽

Author(s):

Xiu-feng Miao ◽

Long-suo Li ◽

Xiu-ming Yan

Keyword(s):

State Estimation ◽

Lipschitz Condition ◽

Stochastic Systems ◽

Nonlinear Stochastic Systems ◽

Generalized Lipschitz Condition

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