Abstract:
Linear Quadratic Control Problems are control problems with a quadratic cost function and linear dynamic system and a linear terminal constraint. This work looks at linear quadratic control problems without terminal conditions. We will _rst look at
the controllability and observability of linear dynamical systems and then establish the necessary conditons for the variation in the cost criterion to be nonnegative for strong perturbations in the control. These conditions are the _rst order necessary conditions
for optimality. We shall also consider the necessary and su_cient conditon for positivity of the quadratic cost criterion. Moreover, necessary and su_cient conditions for strong positivity are derived and we shall show that these conditions are based on the existence of solution to a Riccati matrix di_erential equation. The symplectic property of the
Hamiltonian system helps us to derive the Riccati matrix di_erential equation. We also look at some of the properties of the Riccati variable. Using these ideas, as an illustration, we consider an application in the control of disease, by considering a variant of the
SIR model.
