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This work presents a framework for control of spatially distributed systems modeled by nonlinear highly-dissipative partial differential equations (PDEs) over communication networks. The framework aims to enforce closed-loop stability with minimal sensor-controller information transfer over the network. To this end, an approximate finite-dimensional model that captures the PDE's slow dynamics is used...
This paper presents an integrated model-based networked control and sensor scheduling framework for spatially-distributed processes modeled by parabolic PDEs controlled over a resource-constrained wireless sensor network (WSN). The framework aims to enforce closed-loop stability with minimal information transfer over the WSN. Based on an approximate finite-dimensional system that captures the dominant...
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