The network model of molecular motors
نویسندگان
چکیده
Molecular motors are biogenic force generators acting in the nanometer range. They convert chemical energy into mechanical work and move along filamentous structures. In this research, we will discuss the velocity of molecular motors, in framework of a mechanochemical network theory. Our network model is based on the distinct mechanochemical states of molecular motors. It can be regarded as a generalization of the one used by Steffen Liepelt and Reinhard Lipowsky (PRL 98, 258102 (2007)). The method used in this research is similar as the one used by Michael E. Fisher and Anatoly B. Kolomeisky (PNAS(2001) 98(14) P7748-7753). Generally, the formulation of the velocity of molecular motors can be obtained. PACS : 87.16.Nn, 87.16.A-, 82.39.-k, 05.40.Jc
منابع مشابه
Neural-Network-Aided On-line Diagnosis of Broken Bars inInduction Motors
This paper presents a method based on neural networks to detect broken rotor bars and end rings in squirrel cage induction motors. In the first part, detection methods are reviewed and traditional methods of fault detection as well as dynamic model of induction motors are introduced using the winding function method. In this method, all stator and rotor bars are considered independently in ord...
متن کاملApplication of SVC on Large Synchronous Motors Based on LOC Design (RESEARCH NOTE)
This paper describes the application of static var compensators, (SVC) on an electrical distribution network containing two large synchronous motors, one of which is excited via a three-phase thyristor bridge rectifier. The second machine is excited via a diode bridge rectifier. Based on linear optimization control (LOC), the measurable feedback signals are applied to the control system loops o...
متن کاملOptimal Shaping of Non-Conventional Permanent Magnet Geometries for Synchronous Motors via Surrogate Modeling and Multi-Objective Optimization Approach
A methodology is proposed for optimal shaping of permanent magnets with non-conventional and complex geometries, used in synchronous motors. The algorithm includes artificial neural network-based surrogate model and multi-objective search based optimization method that will lead to Pareto front solutions. An interior permanent magnet topology with crescent-shaped magnets is also introduced as t...
متن کاملA general two-cycle network model of molecular motors
Molecular motors are single macromolecules that generate forces at the piconewton range and nanometer scale. They convert chemical energy into mechanical work by moving along filamentous structures. In this paper, we study the velocity of two-head molecular motors in the framework of a mechanochemical network theory. The network model, a generalization of the recently work of Liepelt and Lipows...
متن کاملAdaptive RBF network control for robot manipulators
TThe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. This paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. As a novelty, the proposed controller employs a simple Gaussian Radial-Basis-Function Network as an uncertainty estimator. The proposed netw...
متن کامل