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On the Effectiveness of OTFS for Joint Radar Parameter Estimation and Communication

IEEE Transactions on Wireless Communications, 2020
We consider a joint radar parameter estimation and communication system using orthogonal time frequency space (OTFS) modulation. The scenario is motivated by vehicular applications where a vehicle (or the infrastructure) equipped with a mono-static radar
Lorenzo Gaudio   +3 more
semanticscholar   +1 more source

Parameter estimation for block‐oriented nonlinear systems using the key term separation

International Journal of Robust and Nonlinear Control, 2020
This article considers the parameter estimation problems of block‐oriented nonlinear systems. By using the key term separation, the system output is represented as a linear combination of unknown parameters.
Yan Ji, Chen Zhang, Zhen Kang, Tao Yu
semanticscholar   +1 more source

A Comprehensive Review of State-of-the-Art Parameter Estimation Techniques for Permanent Magnet Synchronous Motors in Wide Speed Range

IEEE Transactions on Industrial Informatics, 2020
Permanent magnet synchronous motor (PMSM) drive has emerged as one of the most preferred motor drives for industrial applications owing to its distinguished advantages, such as high torque density, high efficiency, and wide speed range operation. However,
M. S. Rafaq, Jin-Woo Jung
semanticscholar   +1 more source

Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems

International Journal of Robust and Nonlinear Control, 2020
This article focuses on the parameter estimation for a class of nonlinear systems, that is, multi‐input single‐output or two‐input single‐output Hammerstein finite impulse response systems with autoregressive moving average noise.
Yan Ji, Zhen Kang
semanticscholar   +1 more source

Parameter estimation: local identifiability of parameters

American Journal of Physiology-Endocrinology and Metabolism, 1990
For biological systems one often cannot set up experiments to measure all of the state variables. If only a subset of the state variables can be measured, it is possible that some of the system parameters cannot influence the measured state variables or that they do so in combinations that do not define the parameters' effects separately.
J A, Jacquez, T, Perry
openaire   +2 more sources

Adaptive parameter estimation for a general dynamical system with unknown states

International Journal of Robust and Nonlinear Control, 2020
This paper is concerned with the design of a state filter for a time‐delay state‐space system with unknown parameters from noisy observation information.
Xiao Zhang, F. Ding
semanticscholar   +1 more source

Parameter Estimation and Adaptive Control for Servo Mechanisms With Friction Compensation

IEEE Transactions on Industrial Informatics, 2020
This article presents a new adaptive parameter estimation method and the corresponding control design for nonlinear servo mechanisms with friction compensation. A continuous friction model is employed to capture the friction dynamics of servo mechanisms.
Shubo Wang, J. Na
semanticscholar   +1 more source

Geophysical Parameter Estimation

The Journal of the Acoustical Society of America, 2008
Seismic exploration for oil and gas is a parameter estimation problem. Geological properties and fluid content of subsurface reservoirs are sensed from the earth's surface. Seismic data are acquired by generating elastic waves at the surface and recording the reflections off subsurface targets using large receiver arrays.
openaire   +1 more source

Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow

IEEE transactions on intelligent transportation systems (Print), 2019
Recently, the availability of unmanned aerial vehicle (UAV) opens up new opportunities for smart transportation applications, such as automatic traffic data collection.
Ruimin Ke   +4 more
semanticscholar   +1 more source

Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems

International Journal of Robust and Nonlinear Control, 2019
This paper is concerned with the joint estimation of states and parameters of a special class of nonlinear systems, ie, bilinear systems. The key is to investigate new estimation methods for interactive state and parameter estimation of the considered ...
Xiao Zhang, F. Ding, Ling Xu
semanticscholar   +1 more source

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