Gustavo Maia de Almeida scite author profile

The Dynamic Matrix Control (DMC) Algorithm is a control method widely applied to industrial processes. The goal of this work is to apply the Ant Colony Optimization (ACO) to optimize the tuning parameters of the Dynamic Matrix Controller for SISO (single-input single-output) and MIMO (multi-input multioutput) linear dynamical systems with constraints. A comparison is made between the computational method proposed here with the Genetic Algorithm, showing advantages and disadvantages of these two methods of tuning.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Gustavo Maia de Almeida

Evidence of a suffocation alarm system within the periaqueductal gray matter of the rat

Arabica coffee samples classification using a Multilayer Perceptron neural network

Application of Genetic Programming for Fine Tuning PID Controller Parameters Designed Through Ziegler-Nichols Technique

Robust predictive controller of the mold level in a steel continuous casting process

Optimal tuning parameters of the dynamic matrix predictive controller with ant colony optimization

Contact Info

Product

Resources

About