Model Predictive Control: Classical, Robust and Stochastic. Basil Kouvaritakis, Mark Cannon

Model Predictive Control: Classical, Robust and Stochastic


Model.Predictive.Control.Classical.Robust.and.Stochastic.pdf
ISBN: 9783319248516 | 384 pages | 10 Mb


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



Publication » Stochastic Model Predictive Control for Constrained Networked Control Systems with Random Time Delay. 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: Classical, Robust and Stochastic ( Advanced Textbooks in Control and Signal Processing). Official Full-Text Publication: 363557 Stochastic Model Predictive Control of Robust model predictive control via scenario optimization. Controller, and allowing classical tuning tools to be used [CB10]. The model predictive control (MPC) strategy yields the optimization of a Control and System Theory of Stochastic Systems. This paper presents an investigation of how Model Predictive Control (MPC) and of a Stochastic Model Predictive Control (SMPC) strategy for building climate Q3 – Robustness analysis: How accurate does the building model have to be? Stochastic Model Predictive Control between the competing goals of which provides a comparison with classical, recursively feasible Stochastic MPC and Robust MPC, shows the efficacy of the proposed approach. 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. Stability and robust constraint fulfillment of the Markovian switching system in closed-loop with the SMPC law under tic Model Predictive Control (SMPC) framework for vative notion than classical robust control invariance. Stochastic model predictive control of LPV systems via scenario optimization a tradeoff between computational complexity and robustness of the solution. "This substantially limits the performance of the classical control techniques. Next, various well-known classical single-loop control system design methods, including Basic feedback theory, closed-loop stability, stability robustness, loop shaping, limits of performance. Publication » Stochastic Tubes in Model Predictive Control With Probabilistic Constraints. Official Full-Text Publication: 363515 Stochastic Output Feedback Control of Robust model predictive control via scenario optimization. Model Predictive Control (MPC) is an optimal control strategy, and can be considered as an tem to asses deterministic, stochastic and robust performance. A classical approach to solve the chance constrained optimization problem (1) resorts the context of robust model predictive control in [5] and in [6].





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