Sliding mode learning control and its applications

The goal of this thesis is to develop a novel robust learning control scheme for a large class of uncertain dynamic systems based on the philosophy of sliding mode control in order to address long-standing drawbacks in existing control designs. The research conducted offers both theoretical development and practical implementation of the proposed control methodology through a variety of applications in different fields of engineering including electric vehicles and communication networks. It is highly believed such powerful control technique will essentially serve the next generation of control technology with a wide range of applications in years to come.