Identification and fuzzy logic control of nonlinear dynamical systems
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Summary
A generalized controller based on fuzzy clustering and fuzzy generalized predictive control has been developed for nonlinear systems and it is shown that its performance is superior to the performances of the currently employed conventional controllers both in terms of accuracy and energy consumption.
- Type
- dissertation
- Published
- 1995-01-01
- Cited by
- 4
- References
- 58
- Access
- Open access
- OpenAlex
- https://openalex.org/W14869315
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:115803681
Keywords
Fuzzy logic, Control theory (sociology), Neuro-fuzzy, Fuzzy control system, Controller (irrigation)
References
- Fundamentals of Temperature Control
- LQG Self-Tuners
- Advanced Control Systems Design
- Robot Control: Dynamics, Motion Planning, and Analysis
- Automatic control of processes
- HVAC Systems Design Handbook
- Digital control of dynamic systems
- Identification of a Packed Distillation Column for Control Via Artificial Neural Networks
- Introduction to artificial neural systems
- Fuzzy models for pattern recognition
- Adaptive Optimal Control: The Thinking Man's G.P.C.
- Fuzzy control of backpropagation
- An introductory survey of fuzzy control
- On-Line Computational Scheme for Mechanical Manipulators
- Trends in identification
- A validation of the modal expansion method of modelling heat conduction in passive solar buildings
- Modern Control Theory
- A retrospective view of fuzzy control systems
- Identi cation of nonlinear systems-A survey
- Generalized predictive control - Part I. The basic algorithm
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