Linear controller design: limits of performance
Linear controller design: limits of performance
Robust control and H∞ -optimization: tutorial paper
Automatica (Journal of IFAC)
Robust industrial control: optimal design approach for polynomial systems
Robust industrial control: optimal design approach for polynomial systems
Robust and optimal control
Fuzzy multiple criteria decision making: recent developments
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Multivariable Feedback Control: Analysis and Design
Multivariable Feedback Control: Analysis and Design
Multivariable Feedback Design
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Genetic Algorithms: Concepts and Designs with Disk
Genetic Algorithms: Concepts and Designs with Disk
A New Fuzzy-Based Multi-objective Optimization Concept for Process Control Systems
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
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This article is concerned with the development of a procedure to calculate the parameters of weighting functions used in H∞ controller designs to achieve a desired system performance. The H∞ synthesis problem is formulated as a multi-criterion optimization problem. A Genetic Algorithm is then employed to search for suitable solutions. To cope with the imprecision and vagueness that arises in the description of objective functions and constraints of the process and actuators, concepts from the fuzzy logic are incorporated into the solution. A multi-objective fuzzy optimization is stated and a fuzzy convex decision-making is established. To demonstrate the advantages of the proposed method, the tuning of SISO and MIMO controllers are investigated. The method is applied to the tuning of controllers of a ship autopilot and of a dynamic ship positioning system. Results are presented, analyzed and compared to former works.