Signal Analysis in Nonlinear Systems Using Instrumental Measurement and Computer Simulation

2021 ◽  
Author(s):  
Milan Sigmund ◽  
Roman Sotner
Keyword(s):  
Computer Simulation ◽  
Nonlinear Systems ◽  
Signal Analysis ◽  
Instrumental Measurement

ROBUST SENSOR FAULT RECONSTRUCTION FOR NONLINEAR SYSTEMS USING OBSERVERS

2012 ◽  
Vol 22 (02) ◽  
pp. 1250031 ◽  
Author(s):  
CHANGFAN ZHANG ◽  
XINZHI LIU ◽  
JING HE
Keyword(s):  
Computer Simulation ◽  
Nonlinear Systems ◽  
Sliding Mode ◽  
State Equation ◽  
Adaptive Observer ◽  
Sensor Fault ◽  
Simulation Experiments ◽  
Reconstruction Scheme ◽  
Fault Reconstruction ◽  
Output Equation

This paper considers a sensor fault reconstruction scheme for nonlinear systems, using the sliding mode observer and adaptive observer. The novelty of this contribution is that we consider the disturbances represented in both the state equation and the output equation. Computer simulation experiments are carried out to demonstrate the effectiveness of the proposed design.

Neural constructivism or self-organization?

2000 ◽  
Vol 23 (5) ◽  
pp. 783-784 ◽  
Author(s):  
Peter C. M. Molenaar ◽  
Han L. J. van der Maas
Keyword(s):  
Information Processing ◽  
Phase Transitions ◽  
Cognitive Development ◽  
Nonlinear Systems ◽  
Signal Analysis ◽  
Self Organization ◽  
Essential Ingredient ◽  
Pattern Information ◽  
Adaptive Signal

Three arguments are given to show that neural constructivism lacks an essential ingredient to explain cognitive development. Based on results in the theory of adaptive signal analysis, adaptive biological pattern information and self-organization in nonlinear systems of information processing, it is concluded that neural constructivism should be further extended to accommodate the occurrence of phase transitions generating qualitative development in the sense of Piaget.

Simulation Model of Cascade Control of the Heating System

2015 ◽  
Vol 18 ◽  
pp. 20-27 ◽  
Author(s):  
Mária Tóthová ◽  
Milan Balara ◽  
Ján Dubják
Keyword(s):  
Mathematical Modeling ◽  
Computer Simulation ◽  
Nonlinear Systems ◽  
Simulation Model ◽  
Control Systems ◽  
Heating System ◽  
Cascade Control ◽  
System Model ◽  
Limited Application ◽  
Simulation Results

The automatic heating control systems seem to be the nonlinear systems with thermal inertias and time delay. The controller is also nonlinear because its information and power signals are limited. Application of methods, which are available for nonlinear systems together with computer simulation and mathematical modeling, create possibility to reach serious information about researched system. The paper contains the heating system model with the cascade control, simulation model of this system and some simulation results created in Matlab/Simulink environment.

ŠIL'NIKOV HOMOCLINIC ORBITS IN TWO CLASSES OF 3D AUTONOMOUS NONLINEAR SYSTEMS

2011 ◽  
Vol 25 (20) ◽  
pp. 2697-2712 ◽  
Author(s):  
BAOYING CHEN ◽  
TIANSHOU ZHOU
Keyword(s):  
Computer Simulation ◽  
Nonlinear Systems ◽  
Geometric Structure ◽  
Homoclinic Orbit ◽  
Chaotic Attractor ◽  
Normal Forms ◽  
Three Dimensional ◽  
Homoclinic Orbits ◽  
Numerical Examples ◽  
Undetermined Coefficient

The Šil'nikov homoclinic theorem provides one analytic criterion for proving the existence of chaos in three-dimensional autonomous nonlinear systems. In applications of the theorem, however, the existence of a homoclinic orbit that usually determines the geometric structure of the chaotic attractor is not easily verified mainly because there are no available efficient methods. In this paper, based on the undetermined coefficient approach we present a framework of how to find homoclinic orbits in two classes of three-dimensional autonomous nonlinear systems of normal forms, including how to set a reasonable form of expanding series of the homoclinic orbit, how to determine all coefficients in the expansion, and how to find a numerical homoclinic orbit. Numerical examples show that the proposed framework in combination with computer simulation is very efficient.

scholarly journals Oscillatority Conditions for Nonlinear Systems with Delay

2007 ◽  
Vol 2007 ◽  
pp. 1-12 ◽  
Author(s):  
Denis V. Efimov ◽  
Alexander L. Fradkov
Keyword(s):  
Computer Simulation ◽  
Time Delay ◽  
Nonlinear Systems ◽  
Lower Bounds ◽  
Oscillation Amplitude ◽  
Sufficient Conditions ◽  
Upper And Lower Bounds ◽  
Analytical Results

Sufficient conditions for oscillatority in the sense of Yakubovich for a class of time delay nonlinear systems are proposed. Under proposed conditions, upper and lower bounds for oscillation amplitude are given. Examples illustrating analytical results by computer simulation are presented.

Characterization of Modulated Structure Through Structure Images and their Computer Simulation

1990 ◽  
Vol 48 (1) ◽  
pp. 70-71
Author(s):  
Kiyomichi Nakai ◽  
Yusuke Isobe ◽  
Chiken Kinoshita ◽  
Kazutoshi Shinohara
Keyword(s):  
Computer Simulation ◽  
High Resolution ◽  
Spherical Aberration ◽  
High Resolution Electron Microscopy ◽  
Basic Mechanism ◽  
Objective Lens ◽  
Specimen Thickness ◽  
Transmitted Beam ◽  
Modulated Structure ◽  
Resolution Electron

Induced spinodal decomposition under electron irradiation in a Ni-Au alloy has been investigated with respect to its basic mechanism and confirmed to be caused by the relaxation of coherent strain associated with modulated structure. Modulation of white-dots on structure images of modulated structure due to high-resolution electron microscopy is reduced with irradiation. In this paper the atom arrangement of the modulated structure is confirmed with computer simulation on the structure images, and the relaxation of the coherent strain is concluded to be due to the reduction of phase-modulation.Structure images of three-dimensional modulated structure along <100> were taken with the JEM-4000EX high-resolution electron microscope at the HVEM Laboratory, Kyushu University. The transmitted beam and four 200 reflections with their satellites from the modulated structure in an fee Ni-30.0at%Au alloy under illumination of 400keV electrons were used for the structure images under a condition of the spherical aberration constant of the objective lens, Cs = 1mm, the divergence of the beam, α = 3 × 10-4 rad, underfocus, Δf ≃ -50nm and specimen thickness, t ≃ 15nm. The CIHRTEM code was used for the simulation of the structure image.

Averting robo-bees: why free-flying robotic bees are a bad idea

2019 ◽  
Vol 3 (6) ◽  
pp. 723-729
Author(s):  
Roslyn Gleadow ◽  
Jim Hanan ◽  
Alan Dorin
Keyword(s):  
Climate Change ◽  
Computer Simulation ◽  
Food Security ◽  
European Countries ◽  
Plant Interactions ◽  
Plant Insect Interactions ◽  
Native Habitat ◽  
Insect Pollinators ◽  
Insect Interactions

Food security and the sustainability of native ecosystems depends on plant-insect interactions in countless ways. Recently reported rapid and immense declines in insect numbers due to climate change, the use of pesticides and herbicides, the introduction of agricultural monocultures, and the destruction of insect native habitat, are all potential contributors to this grave situation. Some researchers are working towards a future where natural insect pollinators might be replaced with free-flying robotic bees, an ecologically problematic proposal. We argue instead that creating environments that are friendly to bees and exploring the use of other species for pollination and bio-control, particularly in non-European countries, are more ecologically sound approaches. The computer simulation of insect-plant interactions is a far more measured application of technology that may assist in managing, or averting, ‘Insect Armageddon' from both practical and ethical viewpoints.

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