2020
DOI: 10.1109/access.2020.2984744
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An EKF-Based Performance Enhancement Scheme for Stochastic Nonlinear Systems by Dynamic Set-Point Adjustment

Abstract: In this paper, a performance enhancement scheme has been investigated for a class of stochastic nonlinear systems via set-point adjustment. Considering the practical industrial processes, the multi-layer systematic structure has been adopted to achieve the control design requirements subjected to random noise. The basic loop control is given by PID design while the parameters have been fixed after the design phase. Alternatively, we can consider that there exists an unadjustable loop control. Then, the additio… Show more

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Cited by 18 publications
(13 citation statements)
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“…The Kalman filter is used to filter and adaptively sample data, but it cannot protect the privacy of unlimited data streams . The controller design method is studied, through the controller design to adjust the shape of the system probability density function (Tang, Zhang & Hu, 2020). Through PID and extended Kalman filter to dynamically adjust the set point, the performance enhancement scheme of the nonlinear system is proposed to meet the control design requirements under random noise .…”
Section: Related Workmentioning
confidence: 99%
“…The Kalman filter is used to filter and adaptively sample data, but it cannot protect the privacy of unlimited data streams . The controller design method is studied, through the controller design to adjust the shape of the system probability density function (Tang, Zhang & Hu, 2020). Through PID and extended Kalman filter to dynamically adjust the set point, the performance enhancement scheme of the nonlinear system is proposed to meet the control design requirements under random noise .…”
Section: Related Workmentioning
confidence: 99%
“…With the continuous development of HRI research, industrial robots have been able to interact with humans accurately and self-adaptively. Some advanced control systems (Zhang, Hu & Gow, 2020) and algorithms (Tang, Zhang & Hu, 2020) have been proposed as Industrial robots provide reliable support for completing interactive tasks in an industrial environment. However, as HSRs began to enter the service industry, some research cases began to discover that there are still problems with the interaction of HSRs in the social environment.…”
Section: Related Workmentioning
confidence: 99%
“…Each particle in DE corresponds to a solution vector, and the main process is composed of three steps: mutation, crossover, and selection. DE algorithm has many advantages, such as robustness, reliability, simple algorithm structure and few control parameters, etc., and it has been widely applied in global optimization ( Zhao et al, 2020 ; Ge et al, 2017 ), artificial intelligence ( Zhao et al, 2021 ; Tang, Zhang & Hu, 2020 ), bioinformatics ( Zhang et al, 2020a ), signal processing ( Yin et al, 2020 ; Zhang et al, 2017 ), machine design ( Zhou et al, 2018 ), and other fields ( Ren et al, 2019 ; Tang et al, 2020b ). Generation strategy of trial vector and setting method of control parameters will greatly affect the performance of DE algorithm.…”
Section: Introductionmentioning
confidence: 99%