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Predictive control of compliant structures
Flexible structures such as cable nets, deformable grid shells or membrane structures have been
drawing great interest in an architectural context for many years. Both in their own right, and
as formwork for concrete casting, they promise to be lightweight, economic and easily deployable
alternative
Flexible structures such as cable nets, deformable grid shells or membrane structures have been drawing great interest in an architectural context for many years. Both in their own right, and as formwork for concrete casting, they promise to be lightweight, economic and easily deployable alternatives to traditional rigid structures. A challenge that comes with the flexibility of such structures is to accurately and robustly control their shape under influence of imprecisions and external loads. Not only does the compliancy make them inherently more susceptible to disturbances, but their highdimensional state space and nonlinearity make the behaviour hard to predict. Some of the questions that need to be answered in this context are: How to adequately model the physical behaviour, how to observe their high-dimensional state and how to control the state with a limited number of actuators.
Flexible structures such as cable nets, deformable grid shells or membrane structures have been drawing great interest in an architectural context for many years. Both in their own right, and as formwork for concrete casting, they promise to be lightweight, economic and easily deployable alternatives to traditional rigid structures. A challenge that comes with the flexibility of such structures is to accurately and robustly control their shape under influence of imprecisions and external loads. Not only does the compliancy make them inherently more susceptible to disturbances, but their highdimensional state space and nonlinearity make the behaviour hard to predict. Some of the questions that need to be answered in this context are: How to adequately model the physical behaviour, how to observe their high-dimensional state and how to control the state with a limited number of actuators.