This paper deals with the problem of robust model predictive control of an uncertain linearized model of a building envelope and HVAC system. Uncertainty of the model is due to the imperfect predictions of internal and external heat gains of the building. The Open-Loop prediction formulation of the Robust Model Predictive Control (OL-RMPC) is known to be unnecessarily over-conservative in pract...

In the standard linear time-invariant multi-input/multioutput unity-feedback system, a parameterization of stabilizing controllers with integral action is obtained. These controllers guarantee asymptotic tracking of step reference inputs at each output channel with zero steady-state error.

In this paper, a minimum entropy control approach for closed-loop tracking error is studied for linear dynamic control systems subjected to stochastic disturbances. The basic idea is to construct a feedback control scheme with the guaranteed closed loop stability using the Youla parameterization that provides a set of free parameters embedded in the controller. The entropy of the closed loop tr...

This paper establishes the link between an adaptation of the policy iteration method for Markov decision processes with continuous state and action spaces and the policy gradient method when the differentiation of the mean value is directly done over the policy without parameterization. This approach allows deriving sound and practical batch Reinforcement Learning algorithms for continuous stat...

Gain scheduling controllers are considered in this paper. The gain scheduling problem where the scheduling parameter vector θ cannot be measured directly, but needs to be estimated is considered. An estimation of the scheduling vector θ has been derived by using the Youla parameterization. The use of the Youla parameterization in connection with estimation of θ directly gives a validation metho...