G. Max

G. Max Away
Tutor in:
Artificial Intelligence

Control System Engineer offers expert tutoring in soft computing techniques such as Artificial Intelligence, Neural Networks, Fuzzy Logic, Optimal and Fuzzy Control.


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, Migration. Mathematical Optimization and Optimal Control Mathematical Programming, Linear (LP), Quadratic (QP), Sequential Quadratic (SQP), Nonlinear (NLP), Mixed-Integer Linear and Nonlinear Optimization (MILP, MINLP), Active-set and Interior Points methods, Branch and Bound algorithm, Karush-Kuhn-Tucker condition, calculation of Gradients, Jacobians and Hessians, Time optimal solution, Pontryagin Maximum Principle, Bang-bang Control, Optimal Control, Linear Quadratic Gaussian Control (LQG) for LTI and LTV systems, CARIMA, Optimal Estimation, Covariance Analysis, Extended (EKF) and Unscented Kalman Filter (UKF), Model Predictive Control (MPC), Minimum Variance Control (MVC), Nonlinear Receding Horizon Predictive Control (RHPC). MATLAB Programming MATLAB implementation and usage of the presented methods and algorithms above, Code and Error Analysis, Scripting and Functions, Graphical User Interface (GUI) and Simulink Model simulation, MATLAB Toolboxes employed: Control System, Curve Fitting, Econometrics, Financial, Fuzzy Logic, General Optimization, Optimization, Model Predictive, Partial Differential, Robust Control, Signal Processing, Statistics, Symbolic Math, System Identification.