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E-raamat: Automation 2022: New Solutions and Technologies for Automation, Robotics and Measurement Techniques

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Automation 2022: New Solutions and Technologies for Automation, Robotics and Measurement TechniquesSuurem pilt
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This book presents the unique result of discussion among interdisciplinary specialists facing recent industrial and economic challenges. It contains papers authored by both scientists and practitioners focused on an interdisciplinary approach to developing measuring techniques, robotic and mechatronic systems, industrial automation, numerical modelling and simulation, and application of artificial intelligence techniques required by the transformation leading to Industry 4.0. We strongly believe that the solutions and guidelines presented in this book will be useful to both researchers and engineers facing problems associated with developing cyber-physical systems for global development.
Invariant Subspaces of Fractional Linear Continuous-Time Systems.- The
Initial Problem for a Discrete, Scalar Fractional Order System.- Variability
in the Height of Layers for Robotised WAAM Process.- Synthesis of a State
Feedback Controller for an Averaging Tank with Variable Filling.- Discrete
Time Sliding Mode Control with State Constraints and Limited Control Signal.-
PID and FOPID Controllers Combinations During Control of 3D Crane Optimized
with GWO Algorithm.- Multi Depot UAVs Routing Subject to Changing Weather and
Time Windows Variation.- Early-Stage Faults Detection using Harmony Search
Algorithm and STFT-Based Spectral Kurtosis.- Comparison of Nonlinear and
Linear Models Behaviour Regarding Rocket Stability.- Multithreading Errors
in Data Reading Automation.- The Multivariable Control for Dynamic Partially
Observable Objects.- The Optimization Model of the Production Process for
Corporate Architecture.- Hardware and Software Design of Onboard Computer
Controlling the FlightStabilisation System.- Implementation of the Ship's
Autopilot in the CPDev Environment.- Research of Attractive Behaviour and
Chaos Characteristics of a Control Object at Its Computer Modeling.- Resource
Efficiency Forecasting Neural Network Model for the Sugar Plant Diffusion
Station.
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Püsilink: https://www.kriso.ee/db/97830310350296e.html
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