ACS428   Hybrid Control Systems   (10 credits)

Description

The last two decades have witnessed a paradigm shift in the standard approach to control design, where dynamical systems were typically described by linear differential (continuous) or difference (discrete) equations, which permitted the straightforward modeling, analysis, and design of systems. As we move to design increasingly complex systems such as the Google car, the use of standard approaches to modelling, simulation and control becomes increasingly difficult. Of particular interest are nonlinear and hybrid systems where we must now meet their challenges head-on instead of relying on linear approximation. All physical systems exhibit some form of nonlinearity and frequently combine continuous dynamics with discrete logic (hybrid systems). The advent of autonomous systems especially demands methods to deal with these issues. Modelling, analysis and control of nonlinear and hybrid systems requires specific techniques in order to achieve the desired performance and stability. This module provides an introduction to these complex topics, including the underlying theory, supported by real world examples.

Reading List