A novel adaptive multi-critic based separated-states neuro-fuzzy controller: Architecture and application to chaos control
| Autor: | Ramin Vatankhah, Mohammad Eghtesad, N. Eqra |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
State variable Neuro-fuzzy Computer science Applied Mathematics 020208 electrical & electronic engineering Chaotic 02 engineering and technology Ball and beam Computer Science Applications 020901 industrial engineering & automation Control and Systems Engineering Control theory Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Reinforcement learning Electrical and Electronic Engineering Reduction (mathematics) Instrumentation |
| Zdroj: | ISA transactions. 111 |
| ISSN: | 1879-2022 |
| Popis: | The design process of a novel adaptive critic based neuro-fuzzy controller is described. The concept is based on separating state variables into groups, assigning the groups to a multi-layer structure, and employing individual neuro-fuzzy controllers for each layer. The correlation procedure between layers is then defined and a proportional–derivative critic is generalized to be used with this structure. The controller’s structure leads to a high reduction in the number of tunable parameters. For easier tuning, different gains are considered in the structure and an approach for the synthesis of the networks’ initial parameters is given. The effectiveness of the controller is then verified by investigating two case studies: 1. Ball and beam regulation 2. Stabilizing the chaotic spinning disk’s lateral vibrations. Simulations proved the feasibility and robustness of the proposed controller. |
| Databáze: | OpenAIRE |
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