... Conference, Oct. 28–30, 2024. MECC2024. 12 07 2024 10 08 2024 20 09 2024 e-mail:  prezaei@umd.edu 1 Corresponding author. e-mail:  jhahn12@umd.edu extracorporeal oxygenation peritoneal oxygenation perfluorocarbon hypothermia diffusion mathematical model system...

...-Enabled Learning of Inverse Operators? ,” ASME J. Dyn. Syst., Meas., Control , 146 ( 3 ), p. 18 . 10.1115/1.4064655 [19] Chiuso , A. , and Pillonetto , G. , 2019 , “ System Identification: A Machine Learning Perspective ,” Annu. Rev. Control, Rob., Auton. Syst. , 2 ( 1 ), pp...

... the estimation accuracy compared to the CNN for the same purpose, enabling “blind” sensing using the lateral line. e-mail:  ptallap@clemson.edu 07 12 2023 07 07 2024 17 08 2024 estimation system identification underwater robotics Office of Naval Research...

.... Additionally, the backpropagation neural network is introduced to further estimate the joint friction torque based on the Stribeck friction model. Ge et al. [ 13 ] and Wang et al. [ 14 ] have presented disparate methodologies employing neural networks and deep learning for system identification, thereby...

... Corresponding author. e-mail:  j.sawicki@csuohio.edu 18 08 2021 21 02 2022 22 03 2022 motion controls robotics system identification For people dealing with gait abnormalities, the ability to achieve nominal walking gaits can have large ramifications on their long-term health...

.../nonlinear events such as stalling. The resulting model will be used to develop model-based feedback control for estimation, disturbance rejection, and autonomy for the REP in an actuated colon simulator. modeling of dynamic systems mechatronics robotics system identification nonlinear systems...

... August 16, 2018. Assoc. Editor: Yang Shi. 25 10 2017 17 07 2018 Manufacturing technology Modeling and simulation System identification Dynamic systems Achieving high machining efficiency while maintaining proper dimensional accuracy is only possible, when the machining...

... Function Selection in the h∞ Design Process ,” Control Eng. Pract. , 4 ( 5 ), pp. 625 – 633 . 10.1016/0967-0661(96)00044-5 Manufacturing technology Motion controls Real time control System identification Uncertain systems Robust control Starting from the early 1960s, the most...

.... Assoc. Editor: Hashem Ashrafiuon. 09 10 2017 30 04 2018 Adaptive Computer control Intelligent control Nonlinear systems Real time control System identification Optimal control Control Discrete-time sliding mode control (DSMC) schemes have been widely developed...

...Souransu Nandi; Tarunraj Singh An adjoint sensitivity-based approach to determine the gradient and Hessian of cost functions for system identification of dynamical systems is presented. The motivation is the development of a computationally efficient approach relative to the direct differentiation...

... Mechatronics Modeling and simulation System identification Vibration control Control systems Dynamic systems Flywheel energy storage systems (FESS) provide solutions for both energy storage and distribution. Compared to electrochemical batteries, they have high power ratings, superior depth...

... ]. The appearance-based localization could be useful in indoor navigation [ 7 ], as well as in minimizing levels of location uncertainties in mobile sensor networks for regression of environmental fields [ 8 , 9 ]. System identification 10 06 2017 20 01 2018 Copyright © 2018 by ASME...

... 30, 2018. Assoc. Editor: Hashem Ashrafiuon. 04 12 2017 21 02 2018 Control theory Modeling and simulation Motion controls Nonlinear systems System identification Uncertain systems Dynamic systems Control Robust control Differentiation is an old problem in signal...

...; final manuscript received February 28, 2018; published online April 30, 2018. Assoc. Editor: Mazen Farhood. 16 05 2017 28 02 2018 Magnetic levitation Mechatronics Modeling and simulation Real time control System identification Uncertain systems Vibration control Dynamic...

..., lateral acceleration, yaw rate, as well as vehicle side-slip and tire friction [ 2 ]. Therefore, measuring or estimating these parameters is very vital for the designed controller. Automotive controls System identification Vehicular dynamics Copyright © 2018 by ASME 2018 0022-0434/2018...

..., two-faults case 1 Corresponding author. Adaptive Motion controls Nonlinear systems Structural health monitoring System identification Transportation Uncertain systems Optimal control Control Robust control Bio-medical systems The inherit characteristics...

..., France . [17] Malti , R. R. , Sabatier , J. , and Akçay , H. , 2009 , “ Thermal Modeling and Identification of an Aluminum Rod Using Fractional Calculus ,” 15th IFAC Symposium on System Identification ( SYSID ), Saint-Malo, France, July 6–8, pp. 958 – 963 . https://hal.archives...

... and simulation System identification Dynamic systems Substantial progress has been achieved in the area of state-space system identification in the last few decades [ 1 , 2 ]. State-space-based modern control often requires state estimation for its implementation. The standard Kalman filter provides...

... time control System identification Dynamic systems Fig. 8 Identification data set Fig. 9 Data classification The set of identification data picked out of the reactor given by Fig. 8 (the process sampling rate is 180 s) is treated offline by the neural classification...

.... 10 02 2017 13 06 2017 Modeling and simulation System identification Dynamic systems The accurate estimation of confined fluid flow transients is a crucial information in pipeline design for upstream–downstream oil and gas production. An accurate evaluation of the flow...