Identification and control of dynamical systems using neural networks
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Summary
It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems and the models introduced are practically feasible.
- Type
- article
- Published
- 1990-03-01
- Cited by
- 6,135
- References
- 32
- OpenAlex
- https://openalex.org/W2138484437
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10127893
Keywords
Identification (biology), Computer science, Artificial neural network, Backpropagation, Nonlinear dynamical systems
References
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- System Sensitivity Analysis: Benchmark Papers in Electrical Engineering and Computer Science
- Neural networks and dynamical systems
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- Generalization of back-propagation to recurrent neural networks.
- Multiparameter self-optimizing systems using correlation techniques
- Optimization of time-varying systems
- Decoupling in a Class of Nonlinear Systems by State Variable Feedback
- Bidirectional associative memories
- Stable adaptive controller design, part II: Proof of stability
- Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit
- The structure of decoupled non-linear systems
- Learned classification of sonar targets using a massively parallel network
- Layered neural nets for pattern recognition
- Adaptive control of linearizable systems
- Neural networks and physical systems with emergent collective computational abilities.
- Multilayer feedforward networks are universal approximators
- Experiments on neural net recognition of spoken and written text
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- A neural network robust controller for real-time control of induction motor
- Incorporação de recorrência em estruturas neurais nebulosas
- Choquet fuzzy integral based modeling of nonlinear system
- Knowledge-based systems for industrial control : J. McGhee, M. J. Grimble and P. Mowforth
- Robust Identification with Neural Networks Using Multiobjective Criteria
- A generic fault detection and diagnosis approach for pneumatic and electric driven railway assets
- Filtering of Linear Partially Observe Stochastic Systems: The Fuzzy Logic Approach
- Mean Derivatives Based Neural Euler Integrator For Nonlinear Dynamic Systems Modeling
- Identification and fuzzy logic control of nonlinear dynamical systems
- Identification of a Pilot Plant Reactive Distillation Process using RBF Networks
- The hierarchical expert tuning of PID controllers using tools of soft computing
- Adaptive observers for unknown general nonlinear systems
- Constructing Fast Hydraulic Robot Models for Optimal Motion Planning
- Robust Neuro-Sliding Mode Multivariable Control Strategy for Powered Wheelchairs
- Spline network modeling and fault classification of a heating ventilation and air-conditioning system
- Error Prediction for a Nuclear Power Plant Fault-Diagnostic Advisor Using Neural Networks
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