MPC as a tool for sustainable development integrated policy assessment

MPC as a tool for sustainable development integrated policy assessment

A recent stochastic and multiobjective formulation based on static open-loop optimization has laid the foundations of a quantitative approach to sustainable development policy assessment. Here, the connections between such an approach and model predictive control are explored, and a reformulation th...

Bibliografski detalji
Glavni autori:	Kouvaritakis, B, Cannon, A, Couchman, P
Format:	Journal article
Jezik:	English
Izdano:	2006

Slični predmeti

LTV models in MPC for sustainable development
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MPC for Stochastic systems
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Stochastic MPC with inequality stability constraints
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MPC on state space models with stochastic input map
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Recent developments, in stochastic MPC and sustainable development
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Improvements in the efficiency of linear MPC
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Improvements in the efficiency of linear MPC
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Optimizing prediction dynamics for robust MPC
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Optimizing prediction dynamics for robust MPC
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Improvements on the efficiency of linear MPC
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A line search improvement of efficient MPC
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A line search improvement of efficient MPC
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On prediction strategies in stochastic MPC
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A line search improvement of efficient MPC
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Stochastic tube MPC with state estimation
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Effcient robust output feedback MPC
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Who needs QP for linear MPC anyway?
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The design of dynamics in the prediction structure of robust MPC
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Modelling and optimisation for sustainable development policy assessment
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Fully parameterized tube MPC
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Triple mode control in MPC
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General interpolation in MPC and its advantages
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An interpolation strategy for discrete-time bilinear MPC problems
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Efficient active set optimization in triple mode MPC
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Efficient MPC optimization using Pontryagin's minimum principle
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Probabilistic Constrained MPC for Multiplicative and Additive Stochastic Uncertainty
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Efficient MPC optimization using Pontryagin's Minimum Principle
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Robust and stochastic linear MPC for systems subject to multiplicative uncertainty
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Closed-loop stabilizing MPC for discrete-time bilinear systems
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Probabilistic constrained MPC for systems with multiplicative and additive stochastic uncertainty
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Efficient prediction strategies for disturbance compensation in stochastic MPC
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Robust MPC for linear systems with bounded multiplicative uncertainty
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Interpolation in MPC for discrete time bilinear systems
od: Bloemen, H, i dr.
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Linear stochastic MPC under finitely supported multiplicative uncertainty
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Efficient active set optimization in triple mode MPC
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Constrained MPC using feedback linearization for systems with unstable inverse dynamics
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Constrained MPC using feedback linearization on SISO bilinear systems with unstable inverse dynamics
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Asymmetric constraints with polytopic sets in MPC with application to coupled tanks system
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Mean-variance receding horizon control for discrete time linear stochastic systems
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Asymmetric constraints with polyhedral sets in MPC with application to coupled tanks system
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