PREDICTIVE CONTROL BY DISTRIBUTED PARAMETER SYSTEMS BLOCKSET FOR MATLAB & SIMULINK
Simulation of model predictive control of casting mold temperature field is presented. Temperature fields of the mould have been modeled and studied using a finite element method based software package, ProCAST, and numerical models in the form of lumped-input/distributed-output systems have been obtained. For model predictive control synthesis the Model Predictive Control Toolbox was used. Simulation have been realized using the Distributed Parameter Systems Blockset for MATLAB & Simulink, which is a third-party MathWorks product.
Modeling, Control and Design of Distributed Parameter Systems as Lumped Input and Distributed Output Systems with Demonstration in MATLAB
Abstract The paper brings an overview of methods of modeling, control and design of distributed parameter systems with lumped input and distributed output. Selected results will be demonstrated using high-performance simulation programming tools offered by environment of MATLAB.
Optimal control of distributed parameter systems
A method for determining the optimum control for distributed parameter systems is presented. The method is based upon mathematical programming and is restricted to systems which can be represented by discrete time models having coefficients which are functions of the spatial variables. The control function is assumed to be spatially concentrated. A closed form Bolutton is given which is valid when no constraints exist. An illustrative example is provided.