Learn More
— In this paper, we study hybrid models that not only undergo mode transitions, but also experience changes in dimensions of the state and input spaces. An algorithmic framework for the optimal control of such Multi-Mode, Multi-Dimension (or M 3 D) systems is presented. We moreover derive a detailed M 3 D model for an ice-skater, and demonstrate the use of(More)
Modern control system analysis and design uses state space methods to develop models of both physical systems and their respective controllers. However, teaching state space to undergraduate students is often difficult due to the mathematical complexity and lack of visual validation when compared to classical control system design. The authors in this paper(More)
  • 1