MATLAB for Engineers by Karel Perutka PDF:: MATLAB is a powerful software package developed by the MathWorks, Inc., the multi-national corporation with the company’s headquarters in Natick, Massachusetts, United States of America. The software is a member of the family of the mathematical computing software together with Maple, Mathematica, Mathcad etc. and it became the standard for simulations in academia and practice.
MATLAB for Engineers by Karel Perutka PDF
Main Contents of MATLAB for Engineers PDF
Part 1. Theory
Implementation of a New Quasi-Optimal Controller Tuning Algorithm for Time-Delay Systems.
Control of Distributed Parameter Systems – Engineering Methods and Software Support in the MATLAB & Simulink Programming Environment.
Numerical Inverse Laplace Transforms for Electrical Engineering Simulation.
Linear Variable Differential Transformer Design and Verification Using MATLAB and Finite Element Analysis.
Part 2. Hardware and Photonics Applications
Computational Models Designed in MATLAB to Improve Parameters and Cost of Modern Chips.
Results Processing in MATLAB for Photonics Applications.
Part 3. Power Systems Applications
MATLAB Co-Simulation Tools for Power Supply Systems Design.
High Accuracy Modelling of Hybrid Power Supplies.
Calculating Radiation from Power Lines for Power Line Communications.
Automatic Modelling Approach for Power Electronics Converters: Code Generation (C S Function, Modelica, VHDL-AMS) and MATLAB/Simulink Simulation.
PV Curves for Steady-State Security Assessment with MATLAB.
Application of Modern Optimal Control in Power System: Damping Detrimental Sub-Synchronous Oscillations.
A New Approach of Control System Design for LLC Resonant Converter.
Part 4. Motor Applications
Wavelet Fault Diagnosis of Induction Motor.
Implementation of Induction Motor Drive Control Schemes in MATLAB/Simulink/dSPACE Environment for Educational Purpose.
Linearization of Permanent Magnet Synchronous Motor Using MATLAB and Simulink.
Part 5. Vehicle Applications
Automatic Guided Vehicle Simulation in MATLAB by Using Genetic Algorithm.
Robust Control of Active Vehicle Suspension Systems Using Sliding Modes and Differential Flatness with MATLAB.
Thermal Behavior of IGBT Module for EV (Electric Vehicle).
Part 6. Robot Applications
Design and Simulation of Legged Walking Robots in MATLAB® Environment.
Modeling, Simulation and Control of a Power Assist Robot for Manipulating Objects Based on Operator’s Weight Perception.
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