This thesis introduces novel and significant results regarding the
analysis and synthesis of positive systems, especially under l1 and L1
performance. It describes stability analysis, controller synthesis, and
bounding positivity-preserving observer and filtering design for a
variety of both discrete and continuous positive systems.
It subsequently derives computationally efficient solutions based on
linear programming in terms of matrix inequalities, as well as a number
of analytical solutions obtained for special cases. The thesis applies a
range of novel approaches and fundamental techniques to the further
study of positive systems, thus contributing significantly to the theory
of positive systems, a "hot topic" in the field of control.