In this work, modal model predictive control synthesis for control of Kuramoto-Sivashinsky equation has been developed. The evolution of a linear dissipative PDE is initially given by an abstract evolution equation in an appropriate Sobolev space. Modal decomposition technique is used to decompose the infinite dimensional system into an interconnection of a finite-dimensional (slow) subsystem with an infinite-dimensional (fast) subsystem. The predictive controller synthesis is then formulated in a way that the construction of the cost functional accounts only for the weighted evolution of slow (finite-dimensional) states, while in the state constraints a high-order (finite-dimensional) approximation of fast states is utilized. As an example of the proposed controller synthesis methodology, the optimal stabilization of spatially-uniform unstable steady state of Kuramoto-Sivashinsky equation subject to variety of boundary conditions is considered. Simulation results demonstrate successful application of the proposed predictive control technique within infinite-dimensional closed-loop system setting.
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