Dynamic gain scheduled control for multivariable processes

A controller which employs dynamically scheduled control parameters has been introduced in earlier work by the authors (1998). This dynamic gain scheduling (DGS) algorithm is extended for multivariable processes and systems with arbitrary relative degree. The multi-input multi-output DGS controller is demonstrated on an industrial benchmark problem-a solution copolymerization process. Simulations show that the DGS controller is significantly better than a four PI controller system, and compares favorably to a 3×3 model predictive controller