UB Paderborn / Katalog / Suche / in CDI

System identification using binary sensors

IEEE transactions on automatic control, 2003-11, Vol.48 (11), p.1892-1907

2003

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Almost Sure Stabilization for Feedback Controls of Regime-Switching Linear Systems With a Hidden Markov Chain

IEEE transactions on automatic control, 2009-09, Vol.54 (9), p.2114-2125

2009

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Identification Input Design for Consistent Parameter Estimation of Linear Systems With Binary-Valued Output Observations

IEEE transactions on automatic control, 2008-05, Vol.53 (4), p.867-880

2008

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Numerical Solutions for Stochastic Differential Games With Regime Switching

IEEE transactions on automatic control, 2008-03, Vol.53 (2), p.509-521

2008

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Identification of Systems With Regime Switching and Unmodeled Dynamics

IEEE transactions on automatic control, 2009-01, Vol.54 (1), p.34-47

2009

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Least mean square algorithms with Markov regime-switching limit

IEEE transactions on automatic control, 2005-05, Vol.50 (5), p.577-593

2005

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Discrete-Time Markov Chains

IEEE transactions on automatic control, 2006-06, Vol.51 (6), p.1080-1081

2006

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Stability of hybrid dynamic systems containing singularly perturbed random processes

IEEE transactions on automatic control, 2002-12, Vol.47 (12), p.2021-2032

2002

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Numerical approximation of invariant measures for hybrid diffusion systems

IEEE transactions on automatic control, 2005-07, Vol.50 (7), p.934-946

2005

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Cyclic System Reconfiguration and Time-Split Signal Separation With Applications to Lung Sound Pattern Analysis

IEEE transactions on signal processing, 2007-06, Vol.55 (6), p.2897-2913

2007

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Persistent identification of systems with unmodeled dynamics and exogenous disturbances

IEEE transactions on automatic control, 2000-07, Vol.45 (7), p.1246-1256

2000

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Quantized Identification With Dependent Noise and Fisher Information Ratio of Communication Channels

IEEE transactions on automatic control, 2010-03, Vol.55 (3), p.674-690

2010

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Optimal control of a marketing-production system

IEEE transactions on automatic control, 2001-03, Vol.46 (3), p.416-427

2001

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Optimal remapping in dynamic bulk synchronous computations via a stochastic control approach

IEEE transactions on parallel and distributed systems, 2003-01, Vol.14 (1), p.51-62

2003

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LMS algorithms for tracking slow Markov chains with applications to hidden Markov estimation and adaptive multiuser detection

IEEE transactions on information theory, 2005-07, Vol.51 (7), p.2475-2490

2005

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Two-Time-Scale Approximation for Wonham Filters

IEEE transactions on information theory, 2007-05, Vol.53 (5), p.1706-1715

2007

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Iterate-averaging sign algorithms for adaptive filtering with applications to blind multiuser detection

IEEE transactions on information theory, 2003-03, Vol.49 (3), p.657-671

2003

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Simulation of population dynamics using continuous-time finite-state Markov chains

Computers & chemical engineering, 2003-02, Vol.27 (2), p.235-249

2003

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Passive stochastic approximation with constant step size and window width

IEEE transactions on automatic control, 1996-01, Vol.41 (1), p.90-106

1996

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Averaging procedures in adaptive filtering: an efficient approach

IEEE transactions on automatic control, 1992-04, Vol.37 (4), p.466-475

1992

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Controlled hidden Markov models for dynamically adapting patch clamp experiment to estimate Nernst potential of single-ion channels

IEEE transactions on nanobioscience, 2006-06, Vol.5 (2), p.115-125

2006

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Irregular sampling, active observability, and convergence rates of state observers for systems with binary-valued observations

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009, p.8506-8511

2009

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State reconstruction for linear time-invariant systems with binary-valued output observations

2007 46th IEEE Conference on Decision and Control, 2007, p.4305-4310

2007

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Identification of cascaded systems with linear and quantized observations

2007 46th IEEE Conference on Decision and Control, 2007, p.3616-3621

2007

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State estimation of systems with binary-valued observations

2007 46th IEEE Conference on Decision and Control, 2007, p.5545-5549

2007

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System identification using binary sensors

Almost Sure Stabilization for Feedback Controls of Regime-Switching Linear Systems With a Hidden Markov Chain

Identification Input Design for Consistent Parameter Estimation of Linear Systems With Binary-Valued Output Observations

Numerical Solutions for Stochastic Differential Games With Regime Switching

Identification of Systems With Regime Switching and Unmodeled Dynamics

Least mean square algorithms with Markov regime-switching limit

Discrete-Time Markov Chains

Stability of hybrid dynamic systems containing singularly perturbed random processes

Numerical approximation of invariant measures for hybrid diffusion systems

Cyclic System Reconfiguration and Time-Split Signal Separation With Applications to Lung Sound Pattern Analysis

Persistent identification of systems with unmodeled dynamics and exogenous disturbances

Quantized Identification With Dependent Noise and Fisher Information Ratio of Communication Channels

Optimal control of a marketing-production system

Optimal remapping in dynamic bulk synchronous computations via a stochastic control approach

LMS algorithms for tracking slow Markov chains with applications to hidden Markov estimation and adaptive multiuser detection

Two-Time-Scale Approximation for Wonham Filters

Iterate-averaging sign algorithms for adaptive filtering with applications to blind multiuser detection

Simulation of population dynamics using continuous-time finite-state Markov chains

Passive stochastic approximation with constant step size and window width

Averaging procedures in adaptive filtering: an efficient approach

Controlled hidden Markov models for dynamically adapting patch clamp experiment to estimate Nernst potential of single-ion channels

Irregular sampling, active observability, and convergence rates of state observers for systems with binary-valued observations

State reconstruction for linear time-invariant systems with binary-valued output observations

Identification of cascaded systems with linear and quantized observations

State estimation of systems with binary-valued observations

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