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Design Intelligent Model base Online Tuning Methodology for Nonlinear System
2014
International Journal of Modern Education and Computer Science
In various dynamic parameters systems that need to be training on-line adaptive control methodology is used. In this paper fuzzy model-base adaptive methodology is used to tune the linear Proportional Integral Derivative (PID) controller. The main objectives in any systems are; stability, robust and reliability. However PID controller is used in many applications but it has many challenges to control of continuum robot. To solve these problems nonlinear adaptive methodology based on model base
doi:10.5815/ijmecs.2014.04.07
fatcat:qocdv6b7efgrnk6jnooronjy6m