General interpolation in mpc and its advantages

DOI10.1109/TAC.2003.812817zbMath1364.93232MaRDI QIDQ5266841

Marko Bacic, Mark Cannon, Basil Kouvaritakis, Young Il Lee

Publication date: 20 June 2017

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Mathematics Subject Classification ID

Related Items (14)

Generalized stabilizing conditions for model predictive control ⋮ Stabilizing model predictive control: On the enlargement of the terminal set ⋮ Interpolation methods in model predictive control: an overview ⋮ Model predictive control design for polytopic uncertain systems by synthesising multi-step prediction scenarios ⋮ Interpolation based computationally efficient predictive control ⋮ Decomposition principle in model predictive control for linear systems with bounded disturbances ⋮ Efficient algorithms for trading off feasibility and performance in predictive control ⋮ A novel robust model predictive control approach with pseudo terminal designs ⋮ Robust output feedback time optimal decomposed controllers for linear systems via moving horizon estimation ⋮ Heterogeneously parameterized tube model predictive control for LPV systems ⋮ ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions ⋮ Constrained linear MPC with time-varying terminal cost using convex combinations ⋮ Extended invariance and its use in model predictive control ⋮ Move blocked model predictive control with guaranteed stability and improved optimality using linear interpolation of base sequences

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