Behavioral Modeling of Memristor-Based Rectifier Bridge

In electrical engineering, radio engineering, robotics, computing, control systems, etc., a lot of nonlinear devices are synthesized on the basis of a nanoelement named memristor that possesses a number of useful properties, such as passivity, nonlinearity, high variability of parameters, nonvolatility, compactness. The efficiency of this electric element has led to the emergence of many memristor technologies based on different physical principles and, as a result, to the occurrence of different mathematical models describing these principles. A general approach to the modeling of memristive devices is represented. The essence is to construct a behavioral model that approximates nonlinear mapping of the input signal set into the output signal set. The polynomials of split signals, which are adaptive to the class of input signals, are used. This adaptation leads to the model’s simplification important in practice. Multi-dimensional polynomials of split signals are built for the rectifier bridge at harmonic input signals. The modeling error is estimated in the mean-square norm. It is shown that the accuracy of the modeling is increased in the case of using the piecewise polynomial with split signals.

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Design and Experimental Evaluation of a Robust Position Controller for an Electrohydrostatic Actuator Using Adaptive Antiwindup Sliding Mode Scheme

The Scientific World JOURNAL ◽

10.1155/2013/590708 ◽

2013 ◽

Vol 2013 ◽

pp. 1-16 ◽

Cited By ~ 7

Author(s):

Ji Min Lee ◽

Sung Hwan Park ◽

Jong Shik Kim

Keyword(s):

Control Systems ◽

Pid Controller ◽

Position Control ◽

Sliding Mode ◽

System Modeling ◽

Modeling Error ◽

Load Disturbance ◽

Control Scheme ◽

Position Controller ◽

System Uncertainties

A robust control scheme is proposed for the position control of the electrohydrostatic actuator (EHA) when considering hardware saturation, load disturbance, and lumped system uncertainties and nonlinearities. To reduce overshoot due to a saturation of electric motor and to realize robustness against load disturbance and lumped system uncertainties such as varying parameters and modeling error, this paper proposes an adaptive antiwindup PID sliding mode scheme as a robust position controller for the EHA system. An optimal PID controller and an optimal anti-windup PID controller are also designed to compare control performance. An EHA prototype is developed, carrying out system modeling and parameter identification in designing the position controller. The simply identified linear model serves as the basis for the design of the position controllers, while the robustness of the control systems is compared by experiments. The adaptive anti-windup PID sliding mode controller has been found to have the desired performance and become robust against hardware saturation, load disturbance, and lumped system uncertainties and nonlinearities.

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Experimental Validation of the Mean Pitch Theory

Journal of Physics Conference Series ◽

10.1088/1742-6596/2090/1/012042 ◽

2021 ◽

Vol 2090 (1) ◽

pp. 012042

Author(s):

T Meda ◽

A Rogala

Keyword(s):

Control Systems ◽

Experimental Validation ◽

Significant Loss ◽

Simple Point ◽

Fire Control ◽

Mass Model ◽

Body Model ◽

Rigid Body Model ◽

The Mean ◽

In Fire

Abstract There are several types of exterior ballistic models used to calculate projectile’s flight trajectories. The most complex 6 degree of freedom rigid body model has many disadvantages to using it to create firing tables or rapid calculations in fire control systems. Some of ballistic phenomena can be simplified by empirical equations without significant loss of accuracy. This approach allowed to create standard NATO ballistic model for spin stabilized projectiles named Modified Point of Mass Model (PM Model). For fin (aerodynamically) stabilized projectiles like mortar projectiles simple Point of Mass Model is commonly used. The PM Model excludes many flight phenomena in calculations. In this paper authors show the mean pitch theory as an approximation of the natural fin stabilised projectile pitch during flight. The theory allows for simple improvement of accuracy of the trajectories calculation. In order to validate the theory data obtained from shooting of supersonic mortar projectiles were used. The comparison of accuracy between simple PM Model and PM Model including mean pitch theory were shown. Results were also compared with the angle of response theory.

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Active Inferants: An Active Inference Framework for Ant Colony Behavior

Frontiers in Behavioral Neuroscience ◽

10.3389/fnbeh.2021.647732 ◽

2021 ◽

Vol 15 ◽

Author(s):

Daniel Ari Friedman ◽

Alec Tschantz ◽

Maxwell J. D. Ramstead ◽

Karl Friston ◽

Axel Constant

Keyword(s):

Theoretical Biology ◽

Behavioral Model ◽

Ant Colony ◽

Behavioral Modeling ◽

Multiscale Approach ◽

Active Inference ◽

Behavioral Experiments ◽

Case System ◽

Markov Decision ◽

Trail Formation

In this paper, we introduce an active inference model of ant colony foraging behavior, and implement the model in a series of in silico experiments. Active inference is a multiscale approach to behavioral modeling that is being applied across settings in theoretical biology and ethology. The ant colony is a classic case system in the function of distributed systems in terms of stigmergic decision-making and information sharing. Here we specify and simulate a Markov decision process (MDP) model for ant colony foraging. We investigate a well-known paradigm from laboratory ant colony behavioral experiments, the alternating T-maze paradigm, to illustrate the ability of the model to recover basic colony phenomena such as trail formation after food location discovery. We conclude by outlining how the active inference ant colony foraging behavioral model can be extended and situated within a nested multiscale framework and systems approaches to biology more generally.

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On the Response of Nonlinear Control Systems to Periodic Input Signals

Bell System Technical Journal ◽

10.1002/j.1538-7305.1964.tb01012.x ◽

1964 ◽

Vol 43 (3) ◽

pp. 911-926 ◽

Cited By ~ 23

Author(s):

I. W. Sandberg

Keyword(s):

Nonlinear Control ◽

Control Systems ◽

Nonlinear Control Systems ◽

Input Signals ◽

Periodic Input

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Physical principles of the design of real-time reconfigured information-control systems based on multipurpose solid-state microwave devices

Russian Physics Journal ◽

10.1007/s11182-006-0218-2 ◽

2006 ◽

Vol 49 (9) ◽

pp. 1016-1025

Author(s):

S. V. Plaxin

Keyword(s):

Solid State ◽

Control Systems ◽

Real Time ◽

Microwave Devices ◽

Information Control ◽

Physical Principles

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Digital robust preview control of path tracking

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1243/095440705x9434 ◽

2005 ◽

Vol 219 (1) ◽

pp. 111-116

Author(s):

Y G Tan ◽

D K Liu ◽

F Liu ◽

Z D Zhou

Keyword(s):

Control Systems ◽

Tracking Control ◽

Control Method ◽

Path Tracking ◽

Trajectory Control ◽

Control Problems ◽

Preview Control ◽

Input Signals ◽

Simulation Results ◽

Reference Input

A robust optimal preview control method is presented in this paper for path tracking control problems to improve robustness and tracking precision of path tracking control systems. The known path information is used as reference input signals. Simulation results show that this method is valid not only for improving the performance of highly accurate trajectory control but also for improving system stabilization.

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Inverse Class-F Doherty power amplifier behavioral modeling with generalized two-box cascaded nonlinear behavioral model

2016 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM) ◽

10.1109/iwem.2016.7505079 ◽

2016 ◽

Author(s):

Gaoming Xu ◽

Taijun Liu ◽

Yan Ye ◽

Jifu Huang

Keyword(s):

Power Amplifier ◽

Behavioral Model ◽

Behavioral Modeling ◽

Doherty Power Amplifier ◽

Class F

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Behavioral Modeling Paradigm for DC Nanogrid Based Distributed Energy Systems

Energies ◽

10.3390/en14237904 ◽

2021 ◽

Vol 14 (23) ◽

pp. 7904

Author(s):

Muhammad Saad ◽

Yongfeng Ju ◽

Husan Ali ◽

Sami Ullah Jan ◽

Dawar Awan ◽

...

Keyword(s):

Renewable Energy Sources ◽

Storage System ◽

Energy Systems ◽

Behavioral Model ◽

Operating Conditions ◽

Behavioral Modeling ◽

System Level ◽

Distributed Energy ◽

New Paradigm ◽

Large Signal

The remarkable progress of power electronic converters (PEC) technology has led to their increased penetration in distributed energy systems (DES). Particularly, the direct current (dc) nanogrid-based DES embody a variety of sources and loads, connected through a central dc bus. Therefore, PECs are required to be employed as an interface. It would facilitate incorporation of the renewable energy sources and battery storage system into dc nanogrids. However, it is more challenging as the integration of multiple modules may cause instabilities in the overall system dynamics. Future dc nanogrids are envisioned to deploy ready-to-use commercial PEC, for which designers have no insight into their dynamic behavior. Furthermore, the high variability of the operating conditions constitute a new paradigm in dc nanogrids. It exacerbates the dynamic analysis using traditional techniques. Therefore, the current work proposes behavioral modeling to perform system level analysis of a dc nanogrid-based DES. It relies only on the data acquired via measurements performed at the input–output terminals only. To verify the accuracy of the model, large signal disturbances are applied. The matching of results for the switch model and its behavioral model verifies the effectiveness of the proposed model.

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