FCMAC: A fuzzified cerebellar model articulation controller with self- organizing capacity
From MaRDI portal
Publication:1323772
DOI10.1016/0005-1098(94)90154-6zbMath0800.93709OpenAlexW2441427637MaRDI QIDQ1323772
Publication date: 1 June 1994
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0005-1098(94)90154-6
Related Items (6)
Self-organizing fuzzy control of multi-variable systems using learning vector quantization network ⋮ Load-aware multicast routing in multi-radio wireless mesh networks using FCA-CMAC neural network ⋮ Stability for feedback loops containing complex algorithms ⋮ Adaptive fault-tolerant control of non-linear systems: an improved CMAC-based fault learning approach ⋮ Stable adaptive compensation with fuzzy CMAC for an overhead crane ⋮ FCMAC: A fuzzified cerebellar model articulation controller with self- organizing capacity
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Convergence properties of associative memory storage for learning control systems
- A reinforcement learning-based architecture for fuzzy logic control
- Self-organization and associative memory.
- A linguistic self-organizing process controller
- FCMAC: A fuzzified cerebellar model articulation controller with self- organizing capacity
- A Nonlinear Adaptive Controller: A Comparison between Fuzzy Logic Control and Neurocontrol
- Learning control with interpolating memories—general ideas, design lay-out, theoretical approaches and practical applications
- A unified real-time approximate reasoning approach for use in intelligent control Part 1. Theoretical development
- A unified real-time approximate reasoning approach for use in intelligent control Part 2. Application to multivariate blood pressure control
- Neural network-based approximate reasoning: principles and implementation
- Data Storage in the Cerebellar Model Articulation Controller (CMAC)
- A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
- Back-propagation neural-network based fuzzy controller with a self-learning teacher
- A hybrid neural-network-based self-organizing controller
- Fast self-learning multivariable fuzzy controllers constructed from a modified CPN network
- Constructing rule-bases for multivariable fuzzy control by self-learning Part 1. System structure and learning algorithms
This page was built for publication: FCMAC: A fuzzified cerebellar model articulation controller with self- organizing capacity