Design and validation of computer protocols
Design and validation of computer protocols
Symbolic model checking: 1020 states and beyond
Information and Computation - Special issue: Selections from 1990 IEEE symposium on logic in computer science
Model checking
Evaluating controller robustness using cell mapping
Fuzzy Sets and Systems - Special issue on formal methods for fuzzy modeling and control
Nonlinear Control Systems II
Advanced Fuzzy Systems Design and Applications
Advanced Fuzzy Systems Design and Applications
A Model Checking Technique for the Verification of Fuzzy Control Systems
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06) - Volume 01
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Fuzzy control is well known as a powerful technique for designing and realizing controllers. However, statistical evidence for their correct behavior may be not enough, even when it is based on a large number of samplings. Therefore, much work is being done to provide a systematic verification of fuzzy controllers and to asses their robustness , that is the ability of a controller to maintain good performance even in the presence of significant disturbances or parameter variations. In the present paper, we introduce a model checking based methodology for the fuzzy controller robustness analysis, that can be applied on plant-controller pairs in a nearly automatic way, giving higher precision results than other approaches, such as cell mapping. We support our conclusions with a case study that compares two different fuzzy controllers for the inverted pendulum on a cart problem.