Least-restrictive robust MPC of periodic affine systems with application to building climate control

Robust state-feedback model predictive control (MPC) of discrete-time periodic affine systems is considered. States and inputs are subject to periodically time-dependent, hard, convex, polyhedral constraints. Disturbances are additive, bounded and subject to periodically time-dependent bounds. The control objective is given in terms of periodically time-dependent costs. First, maximum robust periodic controlled invariant sets are formally characterized and subsequently employed in the design of least-restrictive robustly strongly feasible periodic MPC problems. Finally, the proposed methods are applied to controlling room temperatures in buildings.


Published in:
Proceedings of the 49th IEEE Conference on Decision and Control (CDC), 5257-5263
Presented at:
49th IEEE Conference on Decision and Control (CDC), Atlanta, GA, USA, 15-17 December 2010
Year:
2010
Publisher:
IEEE
Laboratories:




 Record created 2011-10-24, last modified 2018-09-13

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