Integrating nonlinear output feedback control and optimal actuator/sensor placement for transport-reaction processes

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Optimal Shape and Location of Sensors for Parabolic Equations with Random Initial Data (2014, background): “Let us mention for instance the importance of the shape and placement of sensors for transport-reaction processes (see [4, 16]).”
A robust multi-model predictive controller for distributed parameter systems (2012, unknown): “The reactant concentration, C ≡ C(ξ, t), and the temperature inside the reactor, T ≡ T (ξ, t), are described by the following set of PDEs [63, 64]: ∂C ∂t = 1 Pe C ∂ 2 C ∂ξ 2 − ∂C ∂ξ − f (C, T ) , ∂T ∂t = 1 Pe T ∂ 2 T ∂ξ 2 − ∂T ∂ξ + B T f (C, T ) + β T (T c − T ) , (45) where T c is the control varia”
Integrated optimal actuator/sensor placement and robust control of uncertain transport-reaction processes (2002, methodology): “In previous work (Antoniades & Christofides, 2000, 2001), we proposed a general and practical methodology for the integration of nonlinear output feedback control with optimal actuator/sensor placement for transport-reaction processes described by a broad class of quasi-linear parabolic PDEs.”