Sliding Mode Control and Applications

About

This course introduces Sliding Mode Control and Applications, focusing on advanced control methods for systems under heavy uncertainty. It builds upon classical mathematical-control theory, which typically solves control problems asymptotically, by presenting techniques that provide exact solutions in finite or pre-determined time. The course covers key topics such as nonlinear control, finite- and fixed-time stability, sliding-mode control, and robust differentiation, validated through simulations in the presence of system disturbances and noisy measurements. Practical applications of Sliding Mode Control are explored in fields such as robotics, avionics, space flight, signal and image processing, and targeting and tracking problems. It complements foundational courses in nonlinear control and prepares students to design effective controllers for uncertain multi-input multi-output systems. Basic knowledge of ordinary differential equations, linear algebra, and calculus is sufficient for understanding the course.

Intended audience: The intended audience for the course on Sliding Mode Control and Applications includes a diverse range of learners and professionals.It is well-suited for undergraduate students from disciplines such as Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and Robotics, who wish to gain foundational knowledge and practical experience in advanced control techniques. It also caters to postgraduate students and researchers specializing in areas like Control Systems, Power Electronics, Mechatronics, and Artificial Intelligence, enabling them to deepen their theoretical understanding and contribute to cutting-edge research.Faculty members and educators can benefit from the course by enhancing their expertise, staying updated with the latest developments, and effectively mentoring students in related subjects. For industry professionals and engineers in sectors such as automotive, aerospace, power systems, and robotics, the…