Low‐complexity ISS state estimation approach with bounded disturbances: Low-complexity ISS state estimation approach with bounded disturbances

Authors: Qiang Shen, Jieyu Liu, Xiaogang Zhou, Qian Zhao, Qi Wang

Source: International Journal of Adaptive Control and Signal Processing. 32:1473-1488

Subject Terms: input-to-state stability, 0209 industrial biotechnology, Estimation and detection in stochastic control theory, computational complexity, Computational methods in stochastic control, Perturbations in control/observation systems, unknown but bounded noise, ellipsoidal state bounding, set-membership estimation, 0202 electrical engineering, electronic engineering, information engineering, Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory, 02 engineering and technology

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https://dlnext.acm.org/doi/10.1002/acs.2924
https://dl.acm.org/doi/abs/10.1002/acs.2924

Non-fragile l2−l∞ filtering for nonhomogeneous Markov jump systems with randomly occurring uncertainties and gain variations: Non-fragile \(l_2-l_\infty\) filtering for nonhomogeneous Markov jump systems with randomly occurring uncertainties and gain variations

Authors: Li Zhang, Mingang Hua, Fengqi Yao, Jianjun Ni, Weili Dai, Yaling Cheng

Source: Journal of the Franklin Institute. 354:7521-7542

Subject Terms: 0209 industrial biotechnology, Estimation and detection in stochastic control theory, Computational methods in stochastic control, Bernoulli distribution, Control/observation systems with incomplete information, randomly occurring uncertainties, 0202 electrical engineering, electronic engineering, information engineering, PWM (pulsewidth-modulation)-driven boost converter, 02 engineering and technology, Jump processes, nonhomogeneous Markov jump systems, \(l_2-l_\infty\) filtering, Filtering in stochastic control theory

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https://dblp.uni-trier.de/db/journals/jfi/jfi354.html#ZhangHYNDC17

Event-triggered dynamic output feedback RMPC for polytopic systems with redundant channels: Input-to-state stability: Event-triggered dynamic output feedback RMPC for polytopic systems with redundant channels: input-to-state stability

Authors: Derui Ding, Yan Song, Yurong Liu, Shuai Liu, Guoliang Wei

Contributors: Swinburne University of Technology

Source: Journal of the Franklin Institute. 354:2871-2892

Subject Terms: Convex programming, independent Bernoulli distributed sequences, 0209 industrial biotechnology, polytopic systems subject, Computational methods in stochastic control, nonconvex optimization, 02 engineering and technology, event-triggered dynamic output feedback robust model predictive control (RMPC), event-triggered communication mechanism, Discrete event control/observation systems, redundant channels, the optimized feedback control, cone complementarity linearization (CCL), 0202 electrical engineering, electronic engineering, information engineering, Stochastic systems in control theory (general), sampling instant, Stochastic stability in control theory, input-to-state stability (ISS) in mean square sense, Input-output approaches in control theory, constraints on states and inputs

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https://doi.org/10.1016/j.jfranklin.2017.02.008
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https://dblp.uni-trier.de/db/journals/jfi/jfi354.html#LiuSWDL17

EM‐based adaptive divided difference filter for nonlinear system with multiplicative parameter: EM-based adaptive divided difference filter for nonlinear system with multiplicative parameter

Authors: Xiaoxu Wang, Quan Pan, Yan Liang, Song Bao

Source: International Journal of Robust and Nonlinear Control. 27:2167-2197

Subject Terms: multiplicative parameter, 0209 industrial biotechnology, Estimation and detection in stochastic control theory, Computational methods in stochastic control, 02 engineering and technology, Filtering in stochastic control theory, Discrete-time control/observation systems, colored measurement noise, divided difference filter, expectation maximization, identification, Nonlinear systems in control theory, nonlinear systems, Gaussian estimator

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Access URL: https://zbmath.org/6785411
https://doi.org/10.1002/rnc.3674
https://onlinelibrary.wiley.com/doi/10.1002/rnc.3674

Filtering and fault detection for nonlinear systems with polynomial approximation

Authors: Liu, Y, Wang, Z, He, X, Zhou, DH

Source: Automatica. 54:348-359

Subject Terms: recursive algorithm, 0209 industrial biotechnology, Computational methods in stochastic control, adaptive threshold, Kronecker power, Polynomial approximation, Adaptive threshold, polynomial filtering, 02 engineering and technology, fault detection, Filtering in stochastic control theory, Recursive algorithm, Polynomial filtering, Nonlinear systems, polynomial approximation, Nonlinear systems in control theory, nonlinear systems, Fault detection

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https://zbmath.org/6474691
https://doi.org/10.1016/j.automatica.2015.02.022
http://bura.brunel.ac.uk/handle/2438/10657

Minimum variance unbiased FIR filter for discrete time-variant systems

Authors: Yuriy S. Shmaliy, Shunyi Zhao, Fei Liu, Biao Huang

Source: Automatica. 53:355-361

Subject Terms: estimator, 0209 industrial biotechnology, Estimation and detection in stochastic control theory, Discrete-time control/observation systems, Computational methods in stochastic control, FIR filter, optimal filtering, 0202 electrical engineering, electronic engineering, information engineering, Sensitivity (robustness), robustness, 02 engineering and technology, Kalman filters, Filtering in stochastic control theory

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https://doi.org/10.1016/j.automatica.2015.01.022
http://www.sciencedirect.com/science/article/pii/S0005109815000321
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https://www.sciencedirect.com/science/article/pii/S0005109815000321

Stability conditions for multi-sensor state estimation over a lossy network

Authors: Sui, Tianju, You, Keyou, Fu, Minyuee

Contributors: The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science

Source: Automatica. 53:1-9

Subject Terms: 0209 industrial biotechnology, Estimation and detection in stochastic control theory, Computational methods in stochastic control, 02 engineering and technology, 16. Peace & justice, Filtering in stochastic control theory, minimum mean square error, distributed sensing, 0203 mechanical engineering, Large-scale systems, Linear systems in control theory, packet loss, Stochastic stability in control theory, Kalman filtering, networked state estimation

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https://dialnet.unirioja.es/servlet/articulo?codigo=5046210
https://core.ac.uk/display/78570643

SCHMM-based modeling and prediction of random delays in networked control systems

Authors: Ge Yuan, Ming Jiang, Yiqing Huang, Qigong Chen

Source: Journal of the Franklin Institute. 351:2430-2453

Subject Terms: Stochastic network models in operations research, controller-to-actuator (CA) delay, 0209 industrial biotechnology, random delays, Computational methods in stochastic control, Markov processes, \(K\)-mean clustering algorithm, 0202 electrical engineering, electronic engineering, information engineering, Stochastic systems in control theory (general), 02 engineering and technology, semi-continuous hidden Markov model (SCHMM)

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https://www.sciencedirect.com/science/article/pii/S0016003213004626
http://www.sciencedirect.com/science/article/pii/S0016003213004626

Necessary and sufficient convergence conditions of the instrumental variable method for identification

Authors: Hu, Xiao-Li, Welsh, James S.

Contributors: The University of Newcastle. Faculty of Engineering & Built Environment, School of Elect Engineering and Computer Science

Source: Automatica. 49:2693-2703

Subject Terms: 0209 industrial biotechnology, Identification in stochastic control theory, Computational methods in stochastic control, convergence condition, 02 engineering and technology, 0101 mathematics, instrumental variable method, 01 natural sciences, system identification

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Access URL: https://dblp.uni-trier.de/db/journals/automatica/automatica49.html#HuW13
https://core.ac.uk/display/33708341
https://www.sciencedirect.com/science/article/pii/S000510981300318X
https://dialnet.unirioja.es/servlet/articulo?codigo=4718522

Exploring the qualitative behavior of uncertain dynamical systems: A computational approach

Authors: Edwin Kreuzer, Andreas Gaull

Source: Nonlinear Dynamics. 63:285-310

Subject Terms: Computational methods in stochastic control, 16. Peace & justice, ergodic decomposition, 01 natural sciences, transition operator, colored noise, cell mapping, 0103 physical sciences, nonlinear dynamical systems, 0101 mathematics, uncertainty, Generation, random and stochastic difference and differential equations, Computational methods for stochastic equations (aspects of stochastic analysis), Software, source code, etc. for problems pertaining to dynamical systems and ergodic theory

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Access URL: https://zbmath.org/5916603
https://doi.org/10.1007/s11071-010-9804-5
https://link.springer.com/10.1007%2Fs11071-010-9804-5
https://link.springer.com/article/10.1007%2Fs11071-010-9804-5

A recognition problem for a vector alphabet generating a sequence with a quasiperiodic structure

Authors: Alexander Kel'manov, S. A. Khamidullin

Source: Numerical Analysis and Applications. 2:220-229

Subject Terms: 0209 industrial biotechnology, Estimation and detection in stochastic control theory, Computational methods in stochastic control, Detection theory in information and communication theory, alphabet of vectors, 02 engineering and technology, quasiperiodical fragments, Gaussian noise, 01 natural sciences, off-line recognition, efficient algorithm, discrete optimization problem, maximum-likelihood, 0101 mathematics, numerical sequence, Signal detection and filtering (aspects of stochastic processes)

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Access URL: https://zbmath.org/5801036
https://doi.org/10.1134/s1995423909030033
https://link.springer.com/article/10.1134/S1995423909030033

Two methods for analyzing stochastic multistructural systems with distributed structure changes

Authors: Konstantin A. Rybakov, N. A. Averina

Source: Numerical Analysis and Applications. 1:1-16

Subject Terms: analysis problem, Computational methods in stochastic control, statistical simulation method, spectral method, Stochastic systems in control theory (general), stochastic multi-structural system, switching diffusions, 0101 mathematics, 01 natural sciences, Stochastic ordinary differential equations (aspects of stochastic analysis), generalized Fokker-Planck-Kolmogorov equations

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Access URL: https://link.springer.com/article/10.1134/S1995423908010011
https://link.springer.com/content/pdf/10.1134%2FS1995423908010011.pdf

Recursive identification for multivariate errors-in-variables systems

Authors: Han-Fu Chen

Source: Automatica. 43:1234-1242

Subject Terms: errors-in-variables (EIV), 0209 industrial biotechnology, Time series, auto-correlation, regression, etc. in statistics (GARCH), convergence, Identification in stochastic control theory, Computational methods in stochastic control, 0203 mechanical engineering, stochastic approximation, strong consistency, 02 engineering and technology, System identification, Yule-Walker equation, multivariate system

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Access URL: https://zbmath.org/5182082
https://doi.org/10.1016/j.automatica.2006.12.015
https://www.sciencedirect.com/science/article/pii/S0005109807001021
https://dialnet.unirioja.es/servlet/articulo?codigo=2311614
https://dblp.uni-trier.de/db/journals/automatica/automatica43.html#Chen07

Identification of MIMO Hammerstein models using least squares support vector machines

Authors: Ivan Goethals, Bart De Moor, Johan A. K. Suykens, Kristiaan Pelckmans

Source: Automatica. 41:1263-1272

Subject Terms: kernel methods, MIMO, 0209 industrial biotechnology, Identification in stochastic control theory, Computational methods in stochastic control, LS-SVM, Point estimation, 0202 electrical engineering, electronic engineering, information engineering, Hammerstein system, ARX, 02 engineering and technology, support vector machines, system identification

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Access URL: https://zbmath.org/2192834
https://doi.org/10.1016/j.automatica.2005.02.002
https://www.sciencedirect.com/science/article/pii/S0005109805000737
https://core.ac.uk/display/34290059
https://dblp.uni-trier.de/db/journals/automatica/automatica41.html#GoethalsPSM05
https://dl.acm.org/doi/10.1016/j.automatica.2005.02.002

Design of recursive Wiener fixed-point smoothers based on innovations approach in linear discrete-time stochastic systems

Authors: Aurora Hermoso-Carazo, Raquel Caballero-Águila, Josefa Linares-Pérez, Seiichi Nakamori

Source: Applied Mathematics and Computation. 165:731-747

Subject Terms: Wiener-Hopf equation, 0209 industrial biotechnology, Computational methods in stochastic control, Covariance information, Fixed-point smoother, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Discrete-time stochastic systems, Recursive Wiener filter

File Description: application/xml

Access URL: http://hera.ugr.es/doi/1578082x.pdf
http://ci.nii.ac.jp/naid/110004994161
https://dblp.uni-trier.de/db/journals/amc/amc165.html#NakamoriCHL05
https://www.sciencedirect.com/science/article/pii/S009630030400414X

Stochastic Optimal Control and Estimation Methods Adapted to the Noise Characteristics of the Sensorimotor System: Stochastic optimal control and estimation methods adapted to the noise characteristics of the sensorimotor system

Authors: Emanuel Todorov

Source: Neural Computation. 17:1084-1108

Subject Terms: Central Nervous System, 0301 basic medicine, Estimation and detection in stochastic control theory, Computational methods in stochastic control, Movement, stochastic systems, Models, Neurological, Normal Distribution, Efferent Pathways, Feedback, 03 medical and health sciences, 0302 clinical medicine, Application models in control theory, Optimal stochastic control, Animals, Humans, Biomechanics, LQG control, Afferent Pathways, Stochastic Processes, Stochastic learning and adaptive control, Arm, Linear Models, Artifacts, Algorithms, sensorimotor systems

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Access URL: https://europepmc.org/articles/pmc1550971?pdf=render
https://pubmed.ncbi.nlm.nih.gov/15829101

The Local Linearization Method for Numerical Integration of Random Differential Equations: The local linearization method for numerical integration of random differential equations

Authors: Juan Carlos Jimenez, Rolando J. Biscay, Felix Carbonell, H. de la Cruz

Source: BIT Numerical Mathematics. 45:1-14

Subject Terms: Numerical solutions to stochastic differential and integral equations, Numerical optimization and variational techniques, Ordinary differential equations and systems with randomness, Computational methods in stochastic control, local linearization, numerical integration, random differential equations, Random operators and equations (aspects of stochastic analysis), 0101 mathematics, 01 natural sciences, Linearizations

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Access URL: https://link.springer.com/article/10.1007/s10543-005-2645-9

H2 and H$_\infty$ Filtering Design Subject to Implementation Uncertainty: \(H_{2}\) and \(H_\infty\) filtering design subject to implementation uncertainty

Authors: Jose C. Geromel, Mauricio C. de Oliveira

Source: SIAM Journal on Control and Optimization. 44:515-530

Subject Terms: 0209 industrial biotechnology, Computational methods in stochastic control, 0203 mechanical engineering, fragility, 02 engineering and technology, implementation uncertainty, linear matrix inequalities, Filtering in stochastic control theory, Signal detection and filtering (aspects of stochastic processes), robust filtering

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Access URL: http://repositorio.unicamp.br/jspui/handle/REPOSIP/103533
https://dblp.uni-trier.de/db/journals/siamco/siamco44.html#OliveiraG05
http://repositorio.unicamp.br/jspui/bitstream/REPOSIP/103533/1/2-s2.0-33644949359.pdf
https://epubs.siam.org/doi/10.1137/S0363012903424721

Convergence of the least-squares method with a polynomial regularizer for the infinite-dimensional autoregression equation

Authors: Yu. R. Gel, A. E. Barabanov

Source: Automation and Remote Control. 66:92-107

Subject Terms: 0209 industrial biotechnology, Computational methods in stochastic control, 0103 physical sciences, Stochastic learning and adaptive control, 02 engineering and technology, 01 natural sciences

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Access URL: https://link.springer.com/article/10.1007/s10513-005-0009-1

Least-squares LTI approximation of nonlinear systems and quasistationarity analysis

Authors: Pertti M. Mäkilä, Jonathan R. Partington

Source: Automatica. 40:1157-1169

Subject Terms: Wiener systems, 0209 industrial biotechnology, Computational methods in stochastic control, Quasistationarity, 02 engineering and technology, Discrete-time control/observation systems, Discrete-time systems, Hammerstein systems, Nonlinear systems, 0202 electrical engineering, electronic engineering, information engineering, Nonlinear systems in control theory, Linear models, Approximation, Least-squares

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Access URL: https://dblp.uni-trier.de/db/journals/automatica/automatica40.html#MakilaP04
https://www.sciencedirect.com/science/article/pii/S0005109804000603