Titlebook: Cyber-Physical Systems and Control; Dmitry G. Arseniev,Ludger Overmeyer,Branko Katalin Conference proceedings 2020 Springer Nature Switzer

MOTE

書目名稱Cyber-Physical Systems and Control影響因子(影響力)




書目名稱Cyber-Physical Systems and Control影響因子(影響力)學(xué)科排名




書目名稱Cyber-Physical Systems and Control網(wǎng)絡(luò)公開度




書目名稱Cyber-Physical Systems and Control網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Cyber-Physical Systems and Control被引頻次




書目名稱Cyber-Physical Systems and Control被引頻次學(xué)科排名




書目名稱Cyber-Physical Systems and Control年度引用




書目名稱Cyber-Physical Systems and Control年度引用學(xué)科排名




書目名稱Cyber-Physical Systems and Control讀者反饋




書目名稱Cyber-Physical Systems and Control讀者反饋學(xué)科排名

Fortify

男學(xué)院

An Overview of Practical Ontology Implementation in Decision Support Systems,th for humans and machines. For many years, ontologies were mostly considered as an object for academic research, but nowadays they are getting used in a growing number of applications. The suggested paper provides a brief overview of practical ontology implementation in decision support systems. Ty

議程

Layout Optimization for Cyber-Physical Material Flow Systems Using a Genetic Algorithm, numbers. In this paper, the task of arranging a cyber-physical material flow system is addressed as a multi-objective optimization problem and a genetic algorithm is used to search for a Pareto front of optimal layouts. As an example of such a material flow system, a decentralized modular conveyor,

Terminal

dainty

Creation of Physical Models for Cyber-Physical Systems, is based on the general problem of multi-factor risks, the margin of permissible risk, the forecast of the destabilizing dynamics of risk factors, principles, hypotheses, and axioms that are directly related to the analysis of abnormal situations, accidents and disasters. This model is the foundati

dainty

A Comparison of Tuning Methods for PID-Controllers with Fuzzy and Neural Network Controllers,ollers based on the PID approach are used in a wide range of applications due to their easy handling, realization and set up, as well as their modest need of computational resources during the runtime. In order to heuristically find near-optimal parameters for the controller design, different approa

HEAVY

intricacy

Parametric Control of Oscillations,l goals. We overview a number of designs in which periodic variation of parameters in linear time-variant and nonlinear systems is the main control paradigm. We use frequency analysis and one-frequency approximation as the mathematical instrument. The approach that is also known as stationarization

固定某物

Pilot-Induced Oscillations and Their Prevention,nduced Oscillations, i.e., long uncontrolled irregular oscillations which may happen due to the controlling surface magnitude and rate limitations when pilot attempts to control the aircraft with the high rate and accuracy. The simulation and in-flight test results of several PIO events are describe