Self-Organizing Interval Type-2 Fuzzy Asymmetric CMAC Design to Synchronize Chaotic Satellite Systems Using a Modified Grey Wolf Optimizer
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Summary
This study presents a self-organizing interval type-2 fuzzy asymmetric cerebellar model articulation controller design for synchronizing chaotic satellite systems that use a modified grey wolf optimizer.
- Type
- article
- Published
- 2020-03-16
- Cited by
- 15
- References
- 58
- Access
- Open access
- OpenAlex
- https://openalex.org/W3012055441
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:214692067
Keywords
Control theory (sociology), Cerebellar model articulation controller, Controller (irrigation), Computer science, Synchronizing
References
- Defuzzification in Fuzzy Controllers
- Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot
- Enhanced Adaptive Fuzzy Control With Optimal Approximation Error Convergence
- Predictive synchronization of chaotic satellites systems
- Generalized projective synchronization of chaotic satellites problem using linear matrix inequality
- Application of interval type-2 fuzzy neural networks in non-linear identification and time series prediction
- Grey Wolf Optimizer
- SoPC-Based Function-Link Cerebellar Model Articulation Control System Design for Magnetic Ball Levitation Systems
- A recurrent interval type-2 fuzzy neural network with asymmetric membership functions for nonlinear system identification
- Effect of type-2 fuzzy membership function shape on modelling variation in human decision making
- Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO
- Interval type-2 fuzzy-neural network indirect adaptive sliding mode control for an active suspension system
- Self-Organizing CMAC Control for a Class of MIMO Uncertain Nonlinear Systems
- An Efficient Interval Type-2 Fuzzy CMAC for Chaos Time-Series Prediction and Synchronization
- Stable and robust fuzzy control for uncertain nonlinear systems
- Development of fuzzy controllers with non-homogeneous dynamics for integral-type plants
- Bankruptcy Prediction Using Cerebellar Model Neural Networks
- Function vector synchronization based on fuzzy control for uncertain chaotic systems with dead-zone nonlinearities
- An Incremental Type-2 Meta-Cognitive Extreme Learning Machine
- Adaptive Filter Design Using Type-2 Fuzzy Cerebellar Model Articulation Controller
Cited by
- Error prediction and structure determination for CMAC neural network based on the uniform design method
- Multilayer Interval Type-2 Fuzzy Controller Design for Quadcopter Unmanned Aerial Vehicles Using Jaya Algorithm
- Optimum Design of Function-Link Type-2 Fuzzy Asymmetric CMAC Based on Self-Organizing Algorithm and Modified Jaya Algorithm
- Optimal Type-3 Fuzzy System for Solving Singular Multi-Pantograph Equations
- Interval type-2 fuzzy brain emotional control design for the synchronization of 4D nonlinear hyperchaotic systems
- Encryption and Decryption of Audio Signal and Image Secure Communications Using Chaotic System Synchronization Control by TSK Fuzzy Brain Emotional Learning Controllers
- A New Type-3 Fuzzy Logic Approach for Chaotic Systems: Robust Learning Algorithm
- Design of Intelligent Controller Using Type-2 Fuzzy Cerebellar Model Articulation and 3D Membership Functions
- Wavelet Interval Type-2 Takagi-Kang-Sugeno Hybrid Controller for Time-Series Prediction and Chaotic Synchronization
- Trajectory Tracking Control Method for Omnidirectional Mobile Robot Based on Self-Organizing Fuzzy Neural Network and Preview Strategy
- Fourier-based type-2 fuzzy neural network: Simple and effective for high dimensional problems
- Recent Advances in Grey Wolf Optimizer, its Versions and Applications: Review
- Synchronization of chaotic satellite systems with an unknown parameter
- Bayesian Optimization-Based Interval Type-2 Fuzzy Neural Network for Furnace Temperature Control
- Energy-Efficient DC Power Traction Network Systems for Urban Mass Transportation: A Comparative Study of Optimization Algorithms
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