Modelling and control of nonlinear, operating point dependent systems via associative memory networks
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Publication:1915804
DOI10.1007/BF02169537zbMath0850.93265MaRDI QIDQ1915804
Publication date: 20 November 1996
Published in: Dynamics and Control (Search for Journal in Brave)
Neural networks for/in biological studies, artificial life and related topics (92B20) Design techniques (robust design, computer-aided design, etc.) (93B51) Discrete-time control/observation systems (93C55)
Related Items (4)
Adaptive neurofuzzy control for a class of state-dependent nonlinear processes ⋮ A linear parameter-varying radial basis function model and predictive control of a chemical reactor ⋮ A neurofuzzy network structure for modelling and state estimation of unknown nonlinear systems ⋮ A new adaptive multiple modelling approach for non-linear and non-stationary systems
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- Adaptive controller for a turbogenerator system
- A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
- Learning representations by back-propagating errors
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