Convex Optimization in Model Predictive Control based on Hammerstein Model-Reference-Cited by-同舟云学术

Convex Optimization in Model Predictive Control based on Hammerstein Model

Published:2023-02-20 Issue: Volume: Page:1027-1032
ISSN:
Container-title:2023 20th International Multi-Conference on Systems, Signals & Devices (SSD)
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Author:

Wassila Chagra¹,Dhouha Chouaibi²

Affiliation:

1. University of Tunis El Manar,Laboratory of Analysis, Conception and Control of Systems,Preparatory School for Engineering Studies of El Manar National Engineering School of Tunis,Tunis,Tunisia

2. University of Tunis El Manar,National Engineering School of Tunis Laboratory of Analysis, Conception and Control of Systems,Tunis,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10411147/10411148/10411211.pdf?arnumber=10411211

Reference14 articles.

1. Development of a Genetic-Algorithm-Based Nonlinear Model Predictive Control Scheme on Velocity and Steering of Autonomous Vehicles

2. Optimal computing budget allocation for the vector evaluated genetic algorithm in multi-objective simulation optimization

3. The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization

4. GGA: A modified genetic algorithm with gradient-based local search for solving constrained optimization problems

5. Fractional Predictive Control of Multi-Input Multi-Output Systems;Chouaibi

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