Results 241 to 250 of about 3,465,599 (389)

Development of a Heuristic Machine Analogy Method for Model Simplification With an Application to a Large‐Scale Model of Gi/Gs Signaling

CPT: Pharmacometrics &Systems Pharmacology, EarlyView.
ABSTRACT Model simplification is a process to simplify large‐scale mathematical models to enable easy applications such as simulation and parameter estimation. A novel heuristic machine analogy method of model simplification was developed and applied to a motivating example of a model for cAMP signaling switch induced by Gi/Gs pathway competition for ...
Liang Yang, David Finlay, Michelle Glass, Stephen Duffull   +3 more
wiley   +1 more source

Analysis of design parameters of round-window stimulating type electromagnetic transducer by a nonlinear lumped parameter model of implanted human ear

, 2022
Zhaohai Liu, Houguang Liu, Jie Wang, Jianhua Yang, Jingbin Hao, Shanguo Yang   +5 more
openalex   +1 more source

Neuro‐Observer Based Adaptive Fixed‐Time Fault‐Tolerant Control for Uncertain Teleoperation System With Input Saturation and Asymmetric Time‐Varying Output Constraints

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The issue of master‐slave synchronization tracking control for uncertain teleoperation systems with input saturation and asymmetric time‐varying output constraints under actuator failure is investigated. Firstly, a neural network‐based nonlinear disturbance observer is designed to mitigate the negative impact of the compound uncertainty ...
Longnan Li, Lanyong Zhang, Zhenyu Lu, Chenguang Yang   +3 more
wiley   +1 more source

Fixed‐Time Adaptive Neural Control for Physical Human–Robot Collaboration With Time‐Varying Workspace Constraints

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Effective physical human–robot collaboration (pHRC) requires strict safety guarantees since robots coordinate with human actions in a shared workspace. Moreover, compliance is essential, enabling robots to adjust their stiffness and behavior in response to human interaction forces. This paper presents a novel fixed‐time adaptive neural control
Yuzhu Sun, Mien Van, Stephen McIlvanna, Nguyen Minh Nhat, Seán McLoone, Dariusz Ceglarek, Shuzhi Sam Ge   +6 more
wiley   +1 more source

Estimation of spring water residence time based on CFCs measurement of repeated sampling in the volcanoes of Kirishima—Age dating with lumped parameter model—

, 2016
Kiyoshi Ide, Makoto Kagabu, Takahiro Hosono, Jun Shimada   +3 more
openalex   +1 more source

Homothetic Tube‐Based Adaptive MPC

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This article presents a homothetic tube‐based adaptive model predictive control strategy to handle discrete‐time linear time‐invariant (LTI) systems with parametric uncertainties and hard constraints imposed on the states and the control inputs.
Abhishek Dhar, Anchita Dey, Shubhendu Bhasin   +2 more
wiley   +1 more source

Finite Element Modeling of a Combustion Chamber with Premixed Laminar Flame using Lumped Parameter Analogy

, 2016
Sadaf Shariati, S. Mohammadnejad, Raimund Noske, Andreas Brockhinke, Dirk Abel   +4 more
openalex   +1 more source

Lumped parameter model for the safety assessment of the IAEA 10MW benchmark reactor during a protected loss of flow accident

, 2023
Djalal Hamed
openalex   +2 more sources

A Fully Automated Robotic System for Tuning Optimization of RF Cavity Filter

Journal of Field Robotics, EarlyView.
ABSTRACT The advancements in radar systems, electronic warfare, and telecommunication industries have generated a substantial demand for microwave filters. Among these, cavity filters have conventionally served in transmitters and receivers, facilitating the passage of desired signals in the passband while effectively rejecting harmonics and spurious ...
Yarkin Yigit, Engin Afacan
wiley   +1 more source

Modeling Changes in Flow Dynamics From the Restoration of a Distributary Slough Along a Large Floodplain River

River Research and Applications, EarlyView.
ABSTRACT Sloughs are slow‐moving or still water systems that serve as an important ecosystem component connecting rivers and floodplains such as the Apalachicola River in northwest Florida. However, sloughs of the Apalachicola River have become hydrologically disconnected from the mainstem due to the impact of failed navigation projects such as channel
Love Kumar, Matthew J. Deitch, William K. Jones PE, Scott Walls, G. Mathias Kondolf, Joann Mossa, Ramna Kumari   +6 more
wiley   +1 more source