The ever increasing trend of renewable energy sources (RES) into the power system has
increased the uncertainty in the operation and control of power system. The vulnerability of …

The energy storage system (ESS) in a conventional stand-alone renewable energy power
system (REPS) usually has a short lifespan mainly due to irregular output of renewable …

This paper proposes and demonstrates the effectiveness of an economic model predictive
control (MPC) technique in reducing energy and demand costs for building heating …

For discrete-time linear time-invariant systems with constraints on inputs and states, we
describe a method to determine explicitly, as a function of the initial state, the solution to …

This paper describes nonlinear methods in model building, dynamic data reconciliation, and
dynamic optimization that are inspired by researchers and motivated by industrial …

In this chapter we study the solution to optimal control problems for discrete time linear
hybrid systems. First, we show that the closed form of the state feedback solution to finite …

In this paper we introduce a new stage cost and show that the use of this cost allows one to
formulate a robustly stable feedback min–max model predictive control problem that can be …

This paper presents an application case study of an economic model predictive control
(EMPC) method for optimizing the building demand and energy cost under the time-of-use …

The rational design of process monitoring and control systems requires the solution of
dynamic programs. With a few notable exceptions, dynamic programs are difficult, if not …

We propose a utopia-tracking strategy to handle multiple conflicting objectives in model
predictive control. The controller minimizes the distance of its vector of objectives to that of …