Nonlinear Control Systems using MATLABA

The development of computer software for nonlinear control systems has provided many benefits for teaching, research, and the development of control systems design. MATLAB is considered the dominant software platforms for linear and nonlinear control systems analysis.

This book provides an easy way to learn nonlinear control systems such as feedback linearization technique and Sliding mode control (Structure variable control) which are one of the most used techniques in nonlinear control dynamical systems; therefore teachers-students and researchers are all in need to handle such techniques; and since they are too difficult for them to handle such nonlinear controllers especially for a more complicated systems such as induction motor, satellite, and vehicles dynamical models. Thus, this document it is an excellent resource for learning the principle of feedback linearization and sliding mode techniques in an easy and simple way:

• Provides a briefs description of the feedback linearization and sliding
  mode control strategies





• Includes a simple method on how to determine the right and appropriate controller (P-PI-PID) for feedback linearization control strategy.





• A Symbolic MATLAB Based function for finding the feedback linearization and sliding mode controllers are developed and tested using several examples.





• A simple method for finding the approximate sliding mode controller parameters is introduced

Where the program used to construct the nonlinear controller uses symbolic computations; such that the user should provide the program with the necessary functions f(x), g(x) and h(x) using the symbolic library.

Mourad Boufadene received his Electrical Engineering degree major in computer science from the University of Boumerdes (formely INELEC) in June 2009. In 2012, he received his Magister degree in Electrical Engineering major in automatic option advance control for complex systems, from Ecole National Polytechnique Oran, Algeria (formerly ENSET). In 2018, he received his doctoral degree from the University of Amar Teldji Laghouat, Algeria. His research interests include adaptive nonlinear observers, nonlinear control of complex systems such as feedback linearization and sliding mode control, artificial intelligence and electrical machine control, diagnosis and observation of complex systems such as vehicles.