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» Stability Analysis of Fuzzy Control for Nonlinear Systems
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EUSFLAT
2001
104views Fuzzy Logic» more  EUSFLAT 2001»
15 years 1 months ago
Iterative learning fuzzy control
In this paper an iterative learning control design method is depicted, leading to a feedforward controller minimizing tracking error of repetitive trajectories. The approach is ex...
Manuel Olivares, Pedro Albertos, Antonio Sala
AUTOMATICA
2006
90views more  AUTOMATICA 2006»
14 years 11 months ago
An ISS-modular approach for adaptive neural control of pure-feedback systems
Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback s...
Cong Wang, David J. Hill, S. S. Ge, Guanrong Chen
AUTOMATICA
2008
126views more  AUTOMATICA 2008»
14 years 12 months ago
Local stability analysis using simulations and sum-of-squares programming
The problem of computing bounds on the region-of-attraction for systems with polynomial vector fields is considered. Invariant subsets of the region-of-attraction are characterize...
Ufuk Topcu, Andrew K. Packard, Peter Seiler
SOCO
2002
Springer
14 years 11 months ago
A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlin
Conventional industrial control systems are in majority based on the single-input-single-output design principle with linearized models of the processes. However, most industrial p...
Yakov Frayman, Lipo Wang
AUTOMATICA
2007
124views more  AUTOMATICA 2007»
14 years 12 months ago
Input-to-state stability of switched systems and switching adaptive control
In this paper we prove that a switched nonlinear system has several useful ISS-type properties under average dwell-time switching signals if each constituent dynamical system is I...
Linh Vu, Debasish Chatterjee, Daniel Liberzon