A new fuzzy logic learning control scheme for repetitive trajectory tracking problems.
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Publication:1869731
DOI10.1016/S0165-0114(02)00126-4zbMath1090.93028OpenAlexW2019557420MaRDI QIDQ1869731
Publication date: 28 April 2003
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0165-0114(02)00126-4
Related Items (3)
\(H_{\infty}\) tracking-based adaptive fuzzy-neural control for MIMO uncertain robotic systems with time delays ⋮ Iterative learning control design of nonlinear multiple time-delay systems ⋮ Adaptive fuzzy control systems with dynamic structure
Cites Work
- Unnamed Item
- Fuzzy control theory: A nonlinear case
- Design of a single-input fuzzy logic controller and its properties
- Fuzzy controller theory: Limit theorems for linear fuzzy control rules
- The simplest fuzzy controllers using different inference methods are different nonlinear proportional-integral controllers with variable gains
- Analysis of iterative learning control for a class of nonlinear discrete-time systems
- Analytical structure of the typical fuzzy controllers employing trapezoidal input fuzzy sets and nonlinear control rules
- Parallel structure and tuning of a fuzzy PID controller
- Fuzzy logic in control systems: fuzzy logic controller. II
- A generalized iterative learning controller against initial state error
- On D-type and P-type ILC designs and anticipatory approach
- A sampled-data iterative learning control using fuzzy network design
- Iterative learning control synthesis based on 2-D system theory
- Neural-network-based fuzzy logic control and decision system
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