A partial differential equation model predictive control strategy: application to autoclave composite processing

A partial differential equation model predictive control strategy: application to autoclave composite processing

Model Predictive Control of Nonlinear Stochastic Partial Differential Equations with Application to a Sputtering Process

A method is developed for model predictive control of nonlinear stochastic partial differential equations (PDEs) to regulate the state variance, which physically represents the roughness of a surface in a thin film growth process, to a desired level. Initially a nonlinear stochastic PDE is formulated into a system of infinite nonlinear stochastic ordinary differential equations by using Galerki...

Partial Differential Equation Model Based Control: Application to a Bleaching Reactor

Reactor engineering generally uses distributed parameter models for design purpose. These models are not often used for process control design. May the use of this kind of complex models improve control performance? This paper compares different control strategies based on a distributed parameter model to a time-scaled DMC that only uses a simple input-output model for the control of a bleachin...

Model Predictive Control for Nonlinear Parabolic Partial Differential Equations

In this study, the optimal control problem of nonlinear parabolic partial differential equations (PDEs) is investigated. Optimal control of nonlinear PDEs is an open problem with applications that include fluid, thermal, biological, and chemically-reacting systems. Model predictive control with a fast numerical solution method has been well established to solve the optimal control problem of no...

Solving Fuzzy Partial Differential Equation by Differential Transformation Method

  Normal 0 false false false ...