G. Max

G. Max Away
Tutor in:
Neural Networks

Control System Engineer offers expert tutoring service related to Neural Networks.


BSc., in Electrical Engineering (Control Systems) MSc., in Electrical Engineering (Control Systems and Robotics) MSc., in Engineering Management (Management and Finance) PhD., in Control Systems and Robotics (in progress)

My Tutoring Service

I can provide excellent tutoring service in the following fields: Advanced Numerical Methods and Analysis, Mathematical Optimization and Optimal Control, Operations Research, Business Management and Finance, Linear Control Theory, System Identification, Nonlinear and Robust Control, Soft Computing, MATLAB Programming, Functional Analysis, Differential Equations, Multibody Dynamics, Robotics.

Experience & Qualifications

I am currently working as a PhD researcher and I have gained significant experience in Control Systems and Robotics over the past few years. During my research I was involved in several large-scale projects i.e. formation control of unmanned marine vehicles, multibody modelling, identification and time-optimal control of ground vehicles and passenger cars. I have also been a teaching assistant for Control Systems theory and Artificial Intelligence for undergraduates and graduates and have given several lectures in these subjects over the past years. I have expert knowledge in the following fields: Soft Computing Fuzzy sets, Membership functions, T-norm, S-norm, Fuzzy Direct Product, Fuzzy Logic, Fuzzy Relation, Cylinderical extension, Projection, Join, Composition, Fuzzy Implication, Defuzzification, Center of Sums, Center of Gravity, Bisector of Area, Middle of Maxima, Fuzzy Logic Controller (FLC), Sugeno-type Systems, Mamdani max-min Implication, SISO/MIMO Fuzzy Adaptive Direct and Indirect Control, Luenberger projection, Substractive Clustering, Adaptive Neuro-Fuzzy Inference System (ANFIS), MIMO Adaptive Neural Networks, ANN, Genetic Algorithm, Fitness Values, Selection with Stochastic Universal Sampling (SUS), Algorithms for Recombination, Mutation, Reinsertation. Nonlinear and Robust Control Functional Analysis, Banach, Hilbert and Hardy spaces, Scalar products and Norms, Vector Spaces, Distrubutions, Lie derivative, Frobenius’ theorem, Input-Output Linearization, Zero Dinamics, Dinamic Inversion, Nonlinear Stability Theory, Lyapunov stability, Backstepping technique, Control Lyapunov Function (CLF), Passive Systems, Linear Fractional Transformation (LFT), Redheffer star product, Algebraic Ricatti Equation (ARE), Hamilton matrix, Internal Stability, Uncertainty models, Loop shaping, Performance specifications Optimal and Suboptimal H2 and H infinity (Hinf) Control, Mu-synthesis. Statistics Probability Theory, Discrete and Continuous Distribution, Sampling, Random Variable, Conditional Probability, Percentiles, Point and Interval Estimation, Maximum likelihood (ML), Error Types, Descriptive Statistics, Expected Value, Standard Deviation, Mode, Mean, Median, Hypothesis Testing, One and Two Sample, F, z and t tests, 1-way and 2-way ANOVA, Welch, Bartlett-test, Non-parameteric tests, Kolmogorov-Smirnov, Mann-Whitney, Chi-square, Homogeneity, Independence, Regression Analysis, Model Selection techniques, Multicollinearity, Heteroscedasticity, Goodness-of-fit, Statistical Classification, Principal Component Analysis (PCA), Varimax Rotation, scree-plot, Cluster Analysis, k-means algorithm, Multidimensional Scaling (MDS), Time Series Analysis, Univariate Models, Stationarity, ARIMA/SARIMA, Seasonality, ACF, PACF, Akaike, Bayesian Information Criteria (AIC, BIC).