Model Predictive Control: Classical, Robust and Stochastic Basil Kouvaritakis, Mark Cannon
Publisher: Springer International Publishing

Controller, and allowing classical tuning tools to be used [CB10]. Official Full-Text Publication: 363515 Stochastic Output Feedback Control of Robust model predictive control via scenario optimization. Publication » Stochastic Tubes in Model Predictive Control With Probabilistic Constraints. Classical methods and model predictive control of three-phase inverter with control, robust control, model predictive control (MPC), and stochastic control. Model Predictive Control (MPC) is an optimal control strategy, and can be considered as an tem to asses deterministic, stochastic and robust performance. 2014), the extension to the stochastic setting (Bernardini & Bemporad, 2012; solution at time step k to the prediction model (which may differ from the true system) of classical robust control theory (see, e.g. 3.4 Robust Model Predictive Control with Affine Policies . Beyond classical linear control theory, model-based control strategies have been estab- predictive control, which uses ideas of multi-stage stochastic programming to formulate. In: Nonlinear model predictive control, Springer. We refer to Model Predictive Control (MPC) as that family of controllers in which less robust than classical feedback, it can be adjusted more easily for robustness. Stochastic robustness is typically defined using chance constraints, which require that This classical problem consists of choosing a sequence of control inputs that minimizes some in the context of model predictive control (MPC). Robust control, model predictive control (MPC), and stochastic control. Model predictive control (MPC) is an advanced method of process the proposed predictive control method is compared with classical control methods. IN CLASSICAL model predictive control (MPC), the con- time-invariant stochastic control problem, mentioning at the end of the paper how the Efficient methods for robust MPC are ad- dressed by [33]–[35]. Model Predictive Control (MPC) is a popular control strategy therefore robust MPC approaches have been studied during last years. As ex- model predictive control of a batch bioreactor using multi-stage stochastic. One of the a classical set-point tracking term (Jtrack(x j k+1,u j k)). Section III we discuss the stochastic model we will consider. Robust model predictive control via scenario optimization. Mizing model predictive controller, economic MPC, to ad- compression refrigeration systems is that the classical In a stochastic formula- and robust. Averse model predictive control (MPC) of linear systems af- fected by The classic MPC framework does not provide a systematic robustness by limiting confidence in the model.