Abstract:
This paper proposes a success control application using a neural-fuzzy system (NFS) algorithm to control the ball-beam balance system, through learning, simulation, and i...Show MoreMetadata
Abstract:
This paper proposes a success control application using a neural-fuzzy system (NFS) algorithm to control the ball-beam balance system, through learning, simulation, and implementation. First, the control system requires control measurement input, enabling it to generate fuzzy control rules automatically, and then the neural-fuzzy system undergoes a series of learning processes to achieve the best simulation results. Finally, the prototype of a control system is realized with good performance.
Published in: 2009 IEEE International Conference on Fuzzy Systems
Date of Conference: 20-24 August 2009
Date Added to IEEE Xplore: 02 October 2009
ISBN Information:
Print ISSN: 1098-7584
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Control System ,
- Balance Control ,
- Successful Control ,
- Fuzzy Control ,
- Fuzzy Rules ,
- Control Rules ,
- Neural Network ,
- Human Activities ,
- CCD Camera ,
- Human Experience ,
- Control Signal ,
- System Identification ,
- System Architecture ,
- Membership Function ,
- Fuzzy Logic ,
- Fuzzy Set ,
- Linguistic Diversity ,
- Experienced Operator ,
- Inference Rules ,
- Degree Of Importance ,
- Ball Position ,
- Examples Of Rules ,
- Beam Angle ,
- Input Measurements ,
- Beam Center ,
- Fuzzy Membership Functions
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Control System ,
- Balance Control ,
- Successful Control ,
- Fuzzy Control ,
- Fuzzy Rules ,
- Control Rules ,
- Neural Network ,
- Human Activities ,
- CCD Camera ,
- Human Experience ,
- Control Signal ,
- System Identification ,
- System Architecture ,
- Membership Function ,
- Fuzzy Logic ,
- Fuzzy Set ,
- Linguistic Diversity ,
- Experienced Operator ,
- Inference Rules ,
- Degree Of Importance ,
- Ball Position ,
- Examples Of Rules ,
- Beam Angle ,
- Input Measurements ,
- Beam Center ,
- Fuzzy Membership Functions