Optimal PID controller design with adjustable maximum sensitivity
Sign Up to like & getrecommendations! Published in 2018 at "Iet Control Theory and Applications"
DOI: 10.1049/iet-cta.2017.1078
Abstract: In this work, the exponential weighted square-of-error functions are exploited for controller design. It is reported that the exponential weight in square-of-error objective function is related to the maximum sensitivity of the process. Therefore, it… read more here.
Keywords: sensitivity; controller design; square error; maximum sensitivity ... See more keywords
Where Does Minimum Error Entropy Outperform Minimum Mean Square Error? A New and Closer Look
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2792329
Abstract: The past decade has seen a rapid application of information theoretic learning (ITL) criteria in robust signal processing and machine learning problems. Generally, in ITL’s literature, it is seen that, under non-Gaussian assumptions, especially when… read more here.
Keywords: minimum error; error entropy; error; mean square ... See more keywords
Lower Bound for the Normalized Mean Square Error in Power Amplifier Linearization
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Microwave and Wireless Components Letters"
DOI: 10.1109/lmwc.2018.2817021
Abstract: The normalized mean square error (NMSE) is a performance criteria commonly used in power amplifier (PA) linearization to quantify the amount of in-band distortion encountered at the output of a PA. This letter presents a… read more here.
Keywords: normalized mean; amplifier linearization; power amplifier; mean square ... See more keywords
Steady-State Mean-Square Error Analysis for Non-Negative Least Lncosh Algorithm
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2020.3048287
Abstract: Lncosh cost function is regarded as a natural logarithm obtaining from a hyperbolic cosine function, which has drawn growing attention due to its robust to impulsive noise. In this brief, a nonnegative adaptive algorithm is… read more here.
Keywords: square error; mean square; algorithm; steady state ... See more keywords
Estimating the Mean Square Error in Measuring Bearing by Calculating Phase Mismatch
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Communications Technology and Electronics"
DOI: 10.1134/s1064226919070076
Abstract: Abstract—The procedure for estimating the mean square error (MSE) in measuring bearing from a single signal sampling in direction-finding equipment based on digital antenna arrays is considered. An algorithm based on estimating the phase mismatch… read more here.
Keywords: square error; measuring bearing; phase mismatch; mean square ... See more keywords
Distributed filtering in sensor networks based on linear minimum mean square error criterion with limited sensing range
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Distributed Sensor Networks"
DOI: 10.1177/15501329221110810
Abstract: One of the fundamental problems in sensor networks is to estimate and track the target states of interest that evolve in the sensing field. Distributed filtering is an effective tool to deal with state estimation… read more here.
Keywords: square error; mean square; minimum mean; sensor ... See more keywords