(Under review in IEEE Transactions on Control Systems Technology: “A Backstepping Control Framework for Networked Control of m-Triangular Systems”) m-Triangular Systems are dynamical physical systems which can be described by m triangular subsystem models. Many physical system models such as those which describe fixed-wing and quadrotor aircraft can be realized as m-Triangular Systems. However, many control engineers try to fit their dynamical model into a 1-Triangular System model.
The objective of this research is to develop methods for the operation and design of cyber physical systems in general, and energy efficient buildings in particular. The approach is to use an integrated framework: create models of complex systems from data; then design the associated sensing-communication-computation-control system; and finally create distributed estimation and control algorithms, along with execution platforms to implement these algorithms. A special emphasis is placed on adaptation.
The objective of this research is to understand how pervasive information changes energy production, distribution and use. The design of a more scalable and flexible electric infrastructure, encouraging efficient use, integrating local generation, and managing demand through awareness of energy availability and use over time, is investigated. The approach is to develop a cyber overlay on the energy distribution system in its physical manifestations: machine rooms, buildings, neighborhoods, isolated generation islands and regional grids.