Hybrid system identification using a structural approach and its model based control: an experimental validation
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Publication:924093
DOI10.1016/j.nahs.2008.10.007zbMath1166.93313OpenAlexW1994234567MaRDI QIDQ924093
Naresh N. Nandola, Sharad Bhartiya
Publication date: 27 July 2009
Published in: Nonlinear Analysis. Hybrid Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.nahs.2008.10.007
experimental validationcontrol of hybrid systemidentification of hybrid systemthree tank benchmark system
System identification (93B30) Nonlinear systems in control theory (93C10) Control/observation systems governed by ordinary differential equations (93C15)
Related Items (4)
Scalable multiple linear model RTDA controller formulation for constrained nonlinear processes ⋮ A computationally efficient robust tube based MPC for linear switched systems ⋮ Design bounded robust controller using HJB solution for the nonlinear hybrid dynamical systems ⋮ An Iterative Algebraic Geometric Approach for Identification of Switched ARX Models with Noise
Cites Work
- Unnamed Item
- Identification of a class of hybrid dynamic systems with feed-forward neural networks: about the validity of the global model
- Recursive identification of switched ARX systems
- Control of systems integrating logic, dynamics, and constraints
- Identification of piecewise affine systems via mixed-integer programming.
- Parameter identification for piecewise-affine fuzzy models in noisy environment
- A clustering technique for the identification of piecewise affine systems
- Identification of switched linear systems using subspace and integer programming techniques
- Canonical piecewise-linear approximation of smooth functions
- Hinging hyperplanes for regression, classification, and function approximation
- On the hinge-finding algorithm for hingeing hyperplanes
- Piecewise linear identification of non-linear systems
- A Bayesian approach to identification of hybrid systems
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