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In this work, we design a terminal cost for economic model predictive control (EMPC) which preserves local optimality. We first show, based on the strong duality and second order sufficient condition (SOSC) of the steady-state optimization problem, that the optimal operation of the system is locally equivalent to an infinite-horizon LQR controller. The proposed terminal cost is constructed as the...
In this work, we consider economic model predictive control (EMPC) for scheduled switching operations. The proposed EMPC scheme takes advantage of a set of auxiliary controllers that locally stabilizes the optimal steady state of each operating mode. In the proposed approach, EMPC operations are divided into two phases — an infinite-time operation phase and a mode transition phase, depending on the...
This work focuses on economic model predictive control of nonlinear systems. First, an economic model predictive control algorithm that efficiently handles asynchronous and delayed measurements is presented and its application to a chemical process example is demonstrated. This algorithm uses suitable Lyapunov-based constraints to ensure closed-loop stability for a well-defined set of initial conditions...
In this work, we focus on a class of general nonlinear systems and design a model predictive control (MPC) scheme which is capable of optimizing closed-loop performance with respect to general economic considerations taken into account in the construction of the cost function. Specifically, in the proposed design, the MPC optimizes a cost function which is related directly to certain economic considerations...
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