Design of multivariate predictive controller based on new constrained multi-objective PSO and T-S Fuzzy modeling approach

This paper describes a new multi-objective predictive controller approach for nonlinear Multi Inputs Multi Outputs process. The proposed approach is formulated by using a New constrained Multi-objective PSO algorithm and T-S Fuzzy System. T-S Fuzzy modeling approach is used to forecast the behaviors of nonlinear Multi Inputs Multi Outputs process. The proposed PSO algorithm is developed to determine the control actions by solving constrained multi-objective optimization problems. Simulation experiments illustrate the performance of the proposed approach through its application to Quadruple-Tank Process.